Triple

T6523660
Position Surface form Disambiguated ID Type / Status
Subject Thames River watershed E151247 entity
Predicate containsTown P847 FINISHED
Object Ingersoll, Ontario E413887 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: Ingersoll, Ontario | Statement: [Thames River watershed, containsTown, Ingersoll, Ontario]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingersoll, Ontario
Context triple: [Thames River watershed, containsTown, Ingersoll, Ontario]
  • A. Ingersoll, Ontario, Canada chosen
    Ingersoll, Ontario, Canada is a small industrial town in southwestern Ontario known for its automotive manufacturing facilities and agricultural heritage.
  • B. Tavistock, Ontario
    Tavistock, Ontario is a small rural community in southwestern Ontario known for its agricultural roots and strong Mennonite and German cultural heritage.
  • C. Bloomfield, Ontario
    Bloomfield, Ontario is a small village in Prince Edward County known for its historic charm, local shops, and proximity to the region’s wineries and scenic countryside.
  • D. Hawkesbury, Ontario
    Hawkesbury, Ontario is a small bilingual town on the Ottawa River known for its manufacturing history and position between Ottawa and Montreal.
  • E. Hearst, Ontario
    Hearst, Ontario is a small bilingual (French-English) town in northern Ontario known for its forestry-based economy and strong Franco-Ontarian culture.
  • 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_69c687f522748190b3058405553cdabd completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ad970afc81909d3231203eacf413 completed March 27, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d52372d08190a98c611dabc27c85 completed March 27, 2026, 7:06 p.m.
Created at: March 27, 2026, 1:45 p.m.