Triple

T3046558
Position Surface form Disambiguated ID Type / Status
Subject MON E83462 entity
Predicate playsInVenueCity P19642 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: [MON, playsInVenueCity, Montreal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal
Context triple: [MON, playsInVenueCity, 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. Gatineau
    Gatineau is a city in western Quebec, Canada, located across the Ottawa River from Ottawa and forming part of the National Capital Region.
  • D. 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.
  • E. Lévis
    Lévis is a city located on the south shore of the St. Lawrence River in Quebec, Canada, directly across from 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: playsInVenueCity
Context triple: [MON, playsInVenueCity, Montreal]
  • A. performedInCity
    Indicates that an action, event, or performance took place within the boundaries of a specified city.
  • B. cityOfVenue chosen
    Indicates the city in which a given venue is located.
  • C. typicalVenueCity
    Indicates that a particular city is the usual or standard location where an event, activity, or organization is typically held or based.
  • D. sportsVenueLocatedIn
    Indicates that a sports venue is geographically situated within a specified location or administrative area.
  • E. exhibitedInCity
    Indicates that an exhibition or display of an entity took place within a specific city.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bab541c8190a17aca26b3dcfae7 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b3340904b4819097ac23cb2b3fe5d5 completed March 12, 2026, 9:45 p.m.
PD Predicate disambiguation batch_69ad961fc62c819087c4c3a44b00847d completed March 8, 2026, 3:30 p.m.
Created at: March 8, 2026, 3:01 p.m.