Triple

T4926858
Position Surface form Disambiguated ID Type / Status
Subject Lachine E110597 entity
Predicate hasNeighbour P5707 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, hasNeighbour, Dorval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dorval
Context triple: [Lachine, hasNeighbour, 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. Pierrefonds Airport
    Pierrefonds Airport is a regional airport on the French island of Réunion in the Indian Ocean, serving domestic and nearby international flights.
  • E. Quebec City Jean Lesage International Airport
    Quebec City Jean Lesage International Airport is the primary international airport serving the Quebec City region in Canada, offering domestic and limited 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_69bd4415190c8190817bee7ec9f9f944 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70354bd081909291a43439f42ed3 completed March 20, 2026, 4:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69be81c2cb288190b0a603992c08235c completed March 21, 2026, 11:32 a.m.
Created at: March 20, 2026, 1:30 p.m.