Triple

T19080413
Position Surface form Disambiguated ID Type / Status
Subject EUCOR E467015 entity
Predicate abbreviation P43 FINISHED
Object EUCOR NE NERFINISHED

How this triple was built (2 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: EUCOR | Statement: [EUCOR, abbreviation, EUCOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EUCOR
Context triple: [EUCOR, abbreviation, EUCOR]
  • A. EUCOR chosen
    EUCOR is a cross-border alliance of universities in the Upper Rhine region that collaborates on research, teaching, and academic exchange within a shared European campus.
  • B. Eurelectric
    Eurelectric is the pan-European industry association representing the interests of the electricity sector and power companies across Europe.
  • C. EUSPA
    EUSPA is the European Union Agency for the Space Programme, responsible for managing and operating the EU’s satellite navigation and space-related services.
  • D. ECR Group
    The ECR Group is a right-leaning, eurosceptic political group in the European Parliament that brings together conservative and reformist parties from across Europe.
  • E. Pan-Européenne
    Pan-Européenne is a French film production and distribution company known for backing a range of European and international cinema projects.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e2e8f8148190942cca6dd3e30caf completed April 20, 2026, 8:25 a.m.
Created at: April 10, 2026, 12:04 p.m.