Triple

T18308559
Position Surface form Disambiguated ID Type / Status
Subject Saint-Constant E438553 entity
Predicate hasPublicTransportService P34620 FINISHED
Object exo 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: exo | Statement: [Saint-Constant, hasPublicTransportService, exo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: exo
Context triple: [Saint-Constant, hasPublicTransportService, exo]
  • A. exo chosen
    exo is the public transit authority serving the greater Montreal metropolitan area, operating commuter trains and buses across multiple suburban regions in Quebec, Canada.
  • B. EX
    EX is a UK postcode area covering Exeter and surrounding parts of Devon.
  • C. Exos
    Exos is Seagate Technology’s high-capacity enterprise hard drive product line designed for data centers and large-scale storage environments.
  • D. Exo Zombies
    Exo Zombies is a cooperative survival mode in Call of Duty: Advanced Warfare where players battle waves of enhanced, exosuit-wearing zombies.
  • E. Exo
    Exo are humanoid war machines in the Destiny universe, created during the Golden Age and known for their human-like consciousness housed in robotic bodies.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50215e0c48190a4679d432b6ee596 completed April 19, 2026, 4:25 p.m.
Created at: April 10, 2026, 10:35 a.m.