Triple

T9628997
Position Surface form Disambiguated ID Type / Status
Subject Trenton, Michigan E232545 entity
Predicate locatedNear P294 FINISHED
Object Windsor, Ontario E26172 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: Windsor, Ontario | Statement: [Trenton, Michigan, locatedNear, Windsor, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Windsor, Ontario
Context triple: [Trenton, Michigan, locatedNear, Windsor, Ontario]
  • A. Windsor, Ontario chosen
    Windsor, Ontario is a Canadian city in southwestern Ontario known as a major automotive and manufacturing hub situated directly across the river from Detroit, Michigan.
  • B. London, Ontario
    London, Ontario is a mid-sized Canadian city in southwestern Ontario known for its educational institutions, healthcare sector, and role as a regional economic and cultural hub.
  • C. York, Ontario
    York, Ontario is a former municipality and now a district within the city of Toronto, Canada, known for its diverse residential neighborhoods and major north–south thoroughfares.
  • D. Wellington, Ontario
    Wellington, Ontario is a small lakeside community in Prince Edward County known for its wineries, beaches, and vibrant arts and culinary scene.
  • E. Markham, Ontario
    Markham, Ontario is a rapidly growing city in the Greater Toronto Area known for its diverse population, high-tech industry hub, and blend of urban and suburban communities.
  • 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_69ca848793ec8190a93a12383a754dc0 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b00162481908f396f6b6e470d6c completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1eab6ae348190b1ff4eb10081c5a0 completed April 5, 2026, 4:53 a.m.
Created at: March 30, 2026, 8:10 p.m.