Triple

T8459465
Position Surface form Disambiguated ID Type / Status
Subject City of Pickering E200004 entity
Predicate hasNeighbourhood P4813 FINISHED
Object West Shore E222084 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: West Shore | Statement: [City of Pickering, hasNeighbourhood, West Shore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: West Shore
Context triple: [City of Pickering, hasNeighbourhood, West Shore]
  • A. West Shore chosen
    West Shore is a residential lakeside neighbourhood located in the city of Pickering, Ontario, along the shores of Lake Ontario.
  • B. South Shore
    South Shore is the suburban region located on the southern bank of the Saint Lawrence River opposite the Island of Montreal, known for its residential communities and commuter links to the city.
  • C. South Shore
    South Shore is a residential and lakefront community area on the South Side of Chicago known for its diverse population and views of Lake Michigan.
  • D. South Shore
    South Shore is a coastal region known for its surf-friendly beaches and breaks, popular among surfers and ocean enthusiasts.
  • E. South Shore
    South Shore is a coastal suburban region south of Boston, Massachusetts, known for its residential communities, beaches, and commuter access to the city.
  • 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_69ca83198c4c8190a337bf717d1813f5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe49e036c8190abb50ca272266ca6 completed March 31, 2026, 3:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1df214ac8190b59daa88e3a930bc completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:10 p.m.