Triple

T15353825
Position Surface form Disambiguated ID Type / Status
Subject Bonnechere River E367120 entity
Predicate flowsThrough P225 FINISHED
Object Renfrew E272570 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: Renfrew | Statement: [Bonnechere River, flowsThrough, Renfrew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renfrew
Context triple: [Bonnechere River, flowsThrough, Renfrew]
  • A. Renfrew
    Renfrew is a historic town in west-central Scotland, often referred to as the “Cradle of the Royal Stewarts” due to its long association with the Stewart royal dynasty.
  • B. Renfrew chosen
    Renfrew is a county in eastern Ontario, Canada, known for its rural communities, forests, and location along the Ottawa River.
  • C. Lanark
    Lanark is a small unincorporated community located in Raleigh County, West Virginia, United States.
  • D. Lanark
    Lanark is a historic market town in South Lanarkshire, Scotland, known for its medieval origins and role as a former royal burgh.
  • E. Stewarton
    Stewarton is a small Scottish town in East Ayrshire known historically for its textile and bonnet-making industries.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff01ff42d48190897e6653d2b4f8a4 completed May 9, 2026, 9:44 a.m.
Created at: April 10, 2026, 3:18 a.m.