Triple

T2805023
Position Surface form Disambiguated ID Type / Status
Subject Pommard E54030 entity
Predicate governingBody P46 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: [Pommard, governingBody, INAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INAO
Context triple: [Pommard, governingBody, 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. INA
    INA is the commonly used abbreviation for the U.S. Immigration and Nationality Act, the foundational federal law governing immigration and citizenship in the United States.
  • C. INA
    INA refers to the Indian National Army, a military force formed during World War II to fight against British colonial rule in India, primarily under the leadership of Subhas Chandra Bose.
  • D. INNSA
    INNSA is the UN/LOCODE identifier for Jawaharlal Nehru Port, a major container port near Mumbai, India.
  • E. AIST
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • 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_69ab49dcee188190b5c6eca9ae9e3469 completed March 6, 2026, 9:40 p.m.
NER Named-entity recognition batch_69abde1525888190b3c04e10043c67d6 completed March 7, 2026, 8:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69afe8aa2bac8190b3c310c7b0e60c75 completed March 10, 2026, 9:47 a.m.
Created at: March 6, 2026, 9:59 p.m.