Triple

T21250449
Position Surface form Disambiguated ID Type / Status
Subject Rovers Return Inn E523727 entity
Predicate fictionalCity P3207 FINISHED
Object Weatherfield NE NERFINISHED

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: Weatherfield | Statement: [Rovers Return Inn, fictionalCity, Weatherfield]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Weatherfield
Context triple: [Rovers Return Inn, fictionalCity, Weatherfield]
  • A. Weatherfield chosen
    Weatherfield is the fictional Greater Manchester town that serves as the primary setting for the long-running British soap opera Coronation Street.
  • B. Larchfield
    Larchfield is the namesake location or estate after which Larchfield Academy was named, likely a notable local landmark or historic property.
  • C. Northill
    Northill is a rural village and civil parish in Bedfordshire, England, known for its historic church and traditional village green.
  • D. Motherwell
    Motherwell is a former industrial town in North Lanarkshire, Scotland, historically known as a major center of the steel industry.
  • E. Motherwell
    Motherwell is a large township in the Eastern Cape province of South Africa, situated within the Nelson Mandela Bay Metropolitan Municipality and known for its dense residential communities and socio-economic challenges.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359da6e08190a96c471463c2388d completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.