Triple

T21034917
Position Surface form Disambiguated ID Type / Status
Subject Autoroute 19 E518163 entity
Predicate hasTerminus P388 FINISHED
Object Montreal (southern terminus) NE NERFINISHED

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: Montreal (southern terminus) | Statement: [Autoroute 19, hasTerminus, Montreal (southern terminus)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Montreal (southern terminus)
Context triple: [Autoroute 19, hasTerminus, Montreal (southern terminus)]
  • A. Québec-Montréal
    Québec-Montréal is a Canadian film that follows a group of thirty-somethings on a road trip between Quebec City and Montreal as they confront their relationships, regrets, and life choices.
  • B. 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.
  • C. Montreal
    "Montreal" is a song by the American metal band Ataxia.
  • D. Montreal
    Montreal was a prominent Crusader-era fortress in the Lordship of Oultrejordain, strategically controlling key trade and pilgrimage routes east of the Jordan River.
  • E. Terrebonnien
    Terrebonnien is the French demonym for a resident or native of Terrebonne, a city in the province of Quebec, Canada.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b503275c8190afd9a163f997c709 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc858d808190a8489aac801a4f51 completed April 21, 2026, 4:26 a.m.
Created at: April 16, 2026, 2:01 p.m.