Triple

T19396017
Position Surface form Disambiguated ID Type / Status
Subject Baie-Saint-Paul E485189 entity
Predicate transportAccess P1288 FINISHED
Object Route 138 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 138 | Statement: [Baie-Saint-Paul, transportAccess, Route 138]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Route 138
Context triple: [Baie-Saint-Paul, transportAccess, Route 138]
  • A. Route 138 chosen
    Route 138 is a major provincial highway in Quebec that runs along the north shore of the Saint Lawrence River, connecting numerous communities including Sainte-Anne-de-Beaupré.
  • B. Route 136
    Route 136 is a state highway in southwestern Connecticut that runs through coastal communities and connects several local and regional routes.
  • C. 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.
  • D. 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.
  • E. Route 132
    Route 132 is a state highway in Pennsylvania that serves as a key east–west arterial road through suburban communities.
  • 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_69d8e8d5162481909db12435d9535c1a completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4875ac8190a9c184c075b5db16 completed April 20, 2026, 12:25 p.m.
Created at: April 10, 2026, 1:36 p.m.