Triple

T10347034
Position Surface form Disambiguated ID Type / Status
Subject Renfrew E243776 entity
Predicate postalTown P2711 FINISHED
Object Renfrew E243776 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: [Renfrew, postalTown, Renfrew]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Renfrew
Context triple: [Renfrew, postalTown, Renfrew]
  • A. Renfrew chosen
    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
    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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9251654819080d1e3f0ed4ee9d3 completed April 7, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750879d308190893bd8425aaa49d7 completed April 9, 2026, 7:08 a.m.
Created at: April 6, 2026, 11:56 a.m.