Triple

T12506460
Position Surface form Disambiguated ID Type / Status
Subject Doctoral Networks E298959 entity
Predicate successorTo P78 FINISHED
Object Innovative Training Networks under Horizon 2020
Innovative Training Networks under Horizon 2020 were EU-funded Marie Skłodowska-Curie Actions that supported international, interdisciplinary doctoral training consortia to enhance researchers’ skills, mobility, and career prospects.
E993570 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Innovative Training Networks under Horizon 2020 | Statement: [Doctoral Networks, successorTo, Innovative Training Networks under Horizon 2020]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Innovative Training Networks under Horizon 2020
Context triple: [Doctoral Networks, successorTo, Innovative Training Networks under Horizon 2020]
  • A. Pact for Research and Innovation in Europe
    The Pact for Research and Innovation in Europe is an EU-level framework that sets shared principles and priority areas to guide and coordinate research and innovation policies across European countries.
  • B. Framework Programmes for Research and Innovation
    The Framework Programmes for Research and Innovation are the European Union’s flagship multi-annual funding initiatives that support and coordinate scientific research and technological development across member states.
  • C. Global University Network for Innovation
    The Global University Network for Innovation is an international consortium of universities dedicated to promoting innovation in higher education, research, and social engagement worldwide.
  • D. Associated Countries to the European Research Area
    Associated Countries to the European Research Area are non-EU states that participate in the EU’s research and innovation framework programs under similar conditions to member countries, fostering integrated scientific collaboration across Europe.
  • E. European Consortium of Innovative Universities
    The European Consortium of Innovative Universities is a network of forward-looking European universities focused on innovation in education, research, and regional engagement.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Innovative Training Networks under Horizon 2020
Triple: [Doctoral Networks, successorTo, Innovative Training Networks under Horizon 2020]
Generated description
Innovative Training Networks under Horizon 2020 were EU-funded Marie Skłodowska-Curie Actions that supported international, interdisciplinary doctoral training consortia to enhance researchers’ skills, mobility, and career prospects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Innovative Training Networks under Horizon 2020
Target entity description: Innovative Training Networks under Horizon 2020 were EU-funded Marie Skłodowska-Curie Actions that supported international, interdisciplinary doctoral training consortia to enhance researchers’ skills, mobility, and career prospects.
  • A. Pact for Research and Innovation in Europe
    The Pact for Research and Innovation in Europe is an EU-level framework that sets shared principles and priority areas to guide and coordinate research and innovation policies across European countries.
  • B. Framework Programmes for Research and Innovation
    The Framework Programmes for Research and Innovation are the European Union’s flagship multi-annual funding initiatives that support and coordinate scientific research and technological development across member states.
  • C. Global University Network for Innovation
    The Global University Network for Innovation is an international consortium of universities dedicated to promoting innovation in higher education, research, and social engagement worldwide.
  • D. Associated Countries to the European Research Area
    Associated Countries to the European Research Area are non-EU states that participate in the EU’s research and innovation framework programs under similar conditions to member countries, fostering integrated scientific collaboration across Europe.
  • E. European Consortium of Innovative Universities
    The European Consortium of Innovative Universities is a network of forward-looking European universities focused on innovation in education, research, and regional engagement.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfddf38819099263b8b1e804736 completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eac74608190a6f1941ed5a05212 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:57 p.m.