Triple

T22302452
Position Surface form Disambiguated ID Type / Status
Subject Eastern Quebec E551289 entity
Predicate transportInfrastructure P1777 FINISHED
Object Route 132 — 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: Route 132 | Statement: [Eastern Quebec, transportInfrastructure, Route 132]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Route 132
Context triple: [Eastern Quebec, transportInfrastructure, Route 132]
  • A. Route 132
    Route 132 is a major commercial roadway in Hyannis, Massachusetts, serving as a key access route to shopping centers and businesses on Cape Cod.
  • B. Route 132
    Route 132 is a state highway in Pennsylvania that serves as a key east–west arterial road through suburban communities.
  • C. Route 132 chosen
    Route 132 is a major provincial highway in Quebec, Canada, that runs along the south shore of the St. Lawrence River and connects numerous communities, including Salaberry-de-Valleyfield.
  • D. Route 131
    Route 131 is a provincial highway in Quebec, Canada, that serves as a key north–south transportation corridor through the Lanaudière region.
  • E. Route 136
    Route 136 is an urban highway in Montreal that serves as a key east–west connector through the city’s central road network.
  • 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1572517588190bef6f8bfb76afb19 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.