Triple

T9101882
Position Surface form Disambiguated ID Type / Status
Subject Lachine E218377 entity
Predicate borderedBy P224 FINISHED
Object Dorval E398484 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: Dorval | Statement: [Lachine, borderedBy, Dorval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorval
Context triple: [Lachine, borderedBy, Dorval]
  • A. Dorval
    Dorval is the given name of Dorval R. Carter Jr., an American public transportation executive and president of the Chicago Transit Authority.
  • B. Dorval chosen
    Dorval is a suburban city on the Island of Montreal in Quebec, Canada, best known for hosting Montréal–Trudeau International Airport.
  • C. Montréal/Saint-Hubert Airport
    Montréal/Saint-Hubert Airport is a regional airport serving the Greater Montreal area, primarily handling general aviation, flight training, and some commercial and charter operations.
  • D. Trois-Rivières Airport
    Trois-Rivières Airport is a regional airport in Trois-Rivières, Quebec, Canada, serving general aviation, charter, and limited commercial flights for the surrounding Mauricie region.
  • E. Pierrefonds Airport
    Pierrefonds Airport is a regional airport on the French island of Réunion in the Indian Ocean, serving domestic and nearby international flights.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc971435d08190b5007ed44ac0a364 completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d030201a048190a3a1166d23c5ae67 completed April 3, 2026, 9:24 p.m.
Created at: March 30, 2026, 7:15 p.m.