Triple

T15825544
Position Surface form Disambiguated ID Type / Status
Subject Bordeaux AOC E383731 entity
Predicate regulatoryBody P86 FINISHED
Object INAO E49242 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: INAO | Statement: [Bordeaux AOC, regulatoryBody, INAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INAO
Context triple: [Bordeaux AOC, regulatoryBody, INAO]
  • A. INAO chosen
    INAO (Institut National de l’Origine et de la Qualité) is the French governmental organization responsible for overseeing and protecting appellations of origin and quality labels for agricultural products, including wine.
  • B. IAO
    IAO is the abbreviation for the Fraunhofer Institute for Industrial Engineering, a German research institute focused on applied industrial and organizational engineering.
  • C. INACH
    INACH is Chile’s national Antarctic research institute responsible for coordinating and promoting the country’s scientific activities and presence in Antarctica.
  • D. INAIL
    INAIL is the Italian National Institute for Insurance against Accidents at Work, responsible for managing mandatory workplace injury insurance and promoting occupational safety and prevention.
  • E. INEA
    INEA is a Brazilian environmental agency responsible for managing and protecting natural resources and ecosystems in the state of Rio de Janeiro.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e11e602e5481908baa71c3d9b2008f completed April 16, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff999da5008190921b3f129787999e completed May 9, 2026, 8:31 p.m.
Created at: April 10, 2026, 4:49 a.m.