Triple

T16258133
Position Surface form Disambiguated ID Type / Status
Subject Frank De Winne E394682 entity
Predicate spaceAgency P10670 FINISHED
Object ESA
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration and research, coordinating space missions and technology development among its European member states.
 E824664 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: ESA | Statement: [Frank De Winne, spaceAgency, ESA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ESA
Context triple: [Frank De Winne, spaceAgency, ESA]
  • A. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • B. ESA
    ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
  • C. ESA
    ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
  • D. ESA
    ESA is a landmark U.S. environmental law that provides for the conservation and protection of threatened and endangered plant and animal species and their habitats.
  • E. ESA
    ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
  • 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: ESA
Triple: [Frank De Winne, spaceAgency, ESA]
Generated description
ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration and research, coordinating space missions and technology development among its European member states.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ESA
Target entity description: ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration and research, coordinating space missions and technology development among its European member states.
  • A. ESA chosen
    ESA (European Space Agency) is an intergovernmental organization dedicated to space exploration, science, and technology development on behalf of its European member states.
  • B. ESA
    ESA is a major professional organization dedicated to advancing the science and practice of ecology.
  • C. ESA
    ESA is the standardized European Union framework for collecting, organizing, and presenting national and regional economic statistics.
  • D. ESA
    ESA is the abbreviation for the Eight Schools Association, a collaborative group of prestigious New England boarding schools.
  • E. ESA
    ESA is a renowned independent architecture school in Paris known for its innovative and experimental approach to architectural education.
  • F. None of above.

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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c1fa208190995feaeba766b45f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a000f8cca5081909db58e092028e469 completed May 10, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a001057f9088190925492033bcd4c8d completed May 10, 2026, 4:58 a.m.
Created at: April 10, 2026, 5:04 a.m.