Triple

T10228493
Position Surface form Disambiguated ID Type / Status
Subject PORTER AIR E243276 entity
Predicate spokenForm P6196 FINISHED
Object “PORTER AIR” E49087 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: “PORTER AIR” | Statement: [PORTER AIR, spokenForm, “PORTER AIR”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: “PORTER AIR”
Context triple: [PORTER AIR, spokenForm, “PORTER AIR”]
  • A. Porter Airlines chosen
    Porter Airlines is a Canadian regional airline known for its short-haul flights, premium-feel service, and primary operations from downtown Toronto.
  • B. Aeroplan
    Aeroplan is Air Canada's loyalty program that allows members to earn and redeem points for flights, upgrades, and other travel-related rewards.
  • C. Pel-Air Aviation
    Pel-Air Aviation is an Australian regional and charter airline operator providing passenger, cargo, and aeromedical services, and functions as a subsidiary of Rex Airlines.
  • D. Porter
    Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
  • E. Porter
    Porter is a common English occupational surname historically given to gatekeepers or doorkeepers.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d1fb93688190a9abcbebd9fede6c completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f72bc5388190a8337aa6a60ed51f completed April 9, 2026, 12:47 a.m.
Created at: April 6, 2026, 11:18 a.m.