Triple

T10674758
Position Surface form Disambiguated ID Type / Status
Subject Labyrinth (Expo 67 multi-screen film) E251586 entity
Predicate expoLocation P53354 FINISHED
Object Montreal E2604 NE FINISHED

How this triple was built (3 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: Montreal | Statement: [Labyrinth (Expo 67 multi-screen film), expoLocation, Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal
Context triple: [Labyrinth (Expo 67 multi-screen film), expoLocation, Montreal]
  • A. Montreal chosen
    Montreal is the largest city in Quebec, Canada, known for its vibrant bilingual culture, historic architecture, and status as a major economic and cultural center.
  • B. Quebec City
    Quebec City is the historic capital of the Canadian province of Quebec, renowned for its well-preserved fortified old town and rich French colonial heritage.
  • C. Joliette
    Joliette is a Montreal Metro station on the Green Line serving the Mercier–Hochelaga-Maisonneuve borough in Montreal, Quebec, Canada.
  • D. Gatineau
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • E. Trois-Rivières
    Trois-Rivières is a historic industrial and cultural city in the Canadian province of Quebec, located roughly midway between Montreal and Quebec City.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: expoLocation
Context triple: [Labyrinth (Expo 67 multi-screen film), expoLocation, Montreal]
  • A. expoSite
    Indicates that a site or location is designated as the venue or setting for an exposition or exhibition event.
  • B. exhibitLocation chosen
    Indicates the place or venue where something is displayed, presented, or put on exhibit.
  • C. previousExpoCity
    Indicates that a city hosted a previous edition of an exposition or world fair relative to another referenced event or context.
  • D. exhibitedBy
    Indicates that something (such as a quality, behavior, or characteristic) is shown, displayed, or demonstrated by a particular entity.
  • E. previousExpo
    Indicates that one entity is an exposition or expo event that occurred immediately before another in a temporal or sequential order.
  • F. None of above.

Provenance (4 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fb935ca88190b1312d3d53902af5 completed April 9, 2026, 1:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69d99884c70481909fb45b7598f84c64 completed April 11, 2026, 12:40 a.m.
PD Predicate disambiguation batch_69d6dd8a93208190a573061387e2aebb completed April 8, 2026, 10:58 p.m.
Created at: April 8, 2026, 9:09 p.m.