Triple

T637751
Position Surface form Disambiguated ID Type / Status
Subject Pomerol E16661 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: [Pomerol, regulatoryBody, INAO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: INAO
Context triple: [Pomerol, 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. 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. AIST
    AIST is a professional association that supports the global iron and steel industry through technology advancement, education, and networking among industry professionals.
  • D. NiRA
    NiRA (Nigeria Internet Registration Association) is the organization responsible for managing and administering Nigeria’s country code top-level domain, .ng.
  • E. Ain
    Ain is a department in eastern France known for its diverse landscapes, historic towns, and proximity to both the Alps and the Swiss border.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee95b188190a67b12e1899bcdda completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a57405d6f48190b55542d50d3a1f22 completed March 2, 2026, 11:27 a.m.
Created at: March 1, 2026, 7:35 p.m.