Triple

T11387889
Position Surface form Disambiguated ID Type / Status
Subject INRAE E269755 entity
Predicate acronym P43 FINISHED
Object INRAE E269755 NE FINISHED

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: INRAE | Statement: [INRAE, acronym, INRAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INRAE
Context triple: [INRAE, acronym, INRAE]
  • A. INRAE chosen
    INRAE is France’s national research institute dedicated to agriculture, food, and the environment, formed from the merger of INRA and IRSTEA.
  • B. AgroParisTech
    AgroParisTech is a leading French grande école specializing in life, food, and environmental sciences and engineering, now integrated into the Université Paris-Saclay.
  • C. Institut national de l’information géographique et forestière
    The Institut national de l’information géographique et forestière (IGN) is France’s national public agency responsible for producing and managing official geographic, cartographic, and forest-related information.
  • D. Institut national de la recherche scientifique
    Institut national de la recherche scientifique is a graduate-level research university in Quebec, Canada, specializing in advanced scientific and technological research and training.
  • E. INRIA
    INRIA is the French national research institute dedicated to computer science and applied mathematics, known for its leading contributions to digital science and technology.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7fc389d4c81909515a5c8b0099c36 completed April 9, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58c672da48190affacc0f19ef0c7a completed April 20, 2026, 2:16 a.m.
Created at: April 8, 2026, 9:34 p.m.