Triple

T6296802
Position Surface form Disambiguated ID Type / Status
Subject Maritime Provinces E141149 entity
Predicate containsCity P294 FINISHED
Object Moncton E58252 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: Moncton | Statement: [Maritime Provinces, containsCity, Moncton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moncton
Context triple: [Maritime Provinces, containsCity, Moncton]
  • A. Moncton chosen
    Moncton is a mid-sized city in southeastern New Brunswick known as a regional economic, transportation, and service hub in Eastern Canada.
  • B. Fredericton
    Fredericton is the capital city of New Brunswick, known for its riverside setting, historic architecture, and role as a cultural and educational center in eastern Canada.
  • C. Kingston, New Brunswick
    Kingston, New Brunswick is a rural community in Kings County, Canada, located along the Saint John River and known as the birthplace of former British Prime Minister Andrew Bonar Law.
  • D. Saint John, New Brunswick
    Saint John, New Brunswick is a historic port city on the Bay of Fundy in eastern Canada, known for its industrial heritage, maritime culture, and dramatic tides.
  • 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.

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_69c008cdf2ac8190bb640c94478fb4ed completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0643ac2b48190b2db036ce709e7ea completed March 22, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5198e2c1c81909d39adffbdadcbdf completed March 26, 2026, 11:33 a.m.
Created at: March 22, 2026, 4:27 p.m.