Triple

T16102389
Position Surface form Disambiguated ID Type / Status
Subject Aéroports de Montréal E390653 entity
Predicate abbreviation P43 FINISHED
Object ADM E390653 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: ADM | Statement: [Aéroports de Montréal, abbreviation, ADM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ADM
Context triple: [Aéroports de Montréal, abbreviation, ADM]
  • A. ADM
    ADM is the stock ticker symbol for Archer Daniels Midland, a major American global food processing and commodities trading corporation.
  • B. ADM
    ADM is a creative academic institution focused on education and research in the fields of art, design, and media.
  • C. ADM
    ADM is the Italian Customs and Monopolies Agency responsible for regulating customs, excise duties, and state-controlled gaming and monopoly sectors in Italy.
  • D. ADM chosen
    ADM is the abbreviated name for Aéroports de Montréal, the authority that manages the main international airports serving the Montreal region in Canada.
  • E. ADM(IM)
    ADM(IM) is the abbreviated designation for the Assistant Deputy Minister responsible for information management within a governmental or organizational structure.
  • 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_69d87f1a8dd881909f1de6ef78849874 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1ff6976ec8190b499e99b196b0285 completed April 17, 2026, 9:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffeba007c08190bf4d3cf092abc7dd completed May 10, 2026, 2:21 a.m.
Created at: April 10, 2026, 5 a.m.