Triple

T16884351
Position Surface form Disambiguated ID Type / Status
Subject Lucien-L’Allier station E421499 entity
Predicate fareZone P844 FINISHED
Object ARTM Zone A E808914 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: ARTM Zone A | Statement: [Lucien-L’Allier station, fareZone, ARTM Zone A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ARTM Zone A
Context triple: [Lucien-L’Allier station, fareZone, ARTM Zone A]
  • A. ARTM Zone B
    ARTM Zone B is a public transit fare zone within the Autorité régionale de transport métropolitain (ARTM) network in the Greater Montreal area.
  • B. ARTM A chosen
    ARTM A is a central fare zone within the Autorité régionale de transport métropolitain’s public transit system in the Greater Montreal area.
  • C. ART Area
    The ART Area is the Applications and Real-Time area within the IETF that oversees working groups focused on application-layer protocols and real-time communication technologies.
  • D. 435 Art Zone
    435 Art Zone is a cultural and creative park in New Taipei City, Taiwan, known for its contemporary art exhibitions, studios, and public events housed in repurposed industrial buildings.
  • E. ARTM
    ARTM is the regional public transit authority responsible for planning, coordinating, and financing metropolitan transportation services in the Greater Montreal area of Quebec, Canada.
  • 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_69d889d470fc8190b4aec199636c0c56 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3bbbf0cec819084216807601afad1 completed April 18, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c2baece88190ad9821219dff7e27 completed May 10, 2026, 5:39 p.m.
Created at: April 10, 2026, 5:29 a.m.