Triple

T16118860
Position Surface form Disambiguated ID Type / Status
Subject 747 YUL Aéroport / Centre-ville E391079 entity
Predicate serves P98 FINISHED
Object YUL E88650 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: YUL | Statement: [747 YUL Aéroport / Centre-ville, serves, YUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: YUL
Context triple: [747 YUL Aéroport / Centre-ville, serves, YUL]
  • A. YUL chosen
    YUL is the three-letter IATA airport code for Montréal–Trudeau International Airport, the primary international air gateway serving Montreal, Canada.
  • B. ULY
    ULY is the IATA airport code for Ulyanovsk Vostochny Airport, a major cargo and passenger airport serving the Ulyanovsk region in Russia.
  • C. CYUL
    CYUL is the ICAO airport code for Montréal–Trudeau International Airport, the primary international airport serving Montreal, Canada.
  • D. YL
    YL is the commonly used abbreviation for Young Labour, the youth wing of the UK Labour Party.
  • E. YUG
    YUG was the FIFA country code used to represent the former Yugoslavia national football team in international competitions.
  • 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_69e2016d527c8190928e73661b18a914 completed April 17, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff79ecea0819083aa5cb676d49f64 completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5 a.m.