Triple

T8136459
Position Surface form Disambiguated ID Type / Status
Subject Crewe estate E189981 entity
Predicate linkedTo P37 FINISHED
Object City of Crewe E45564 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: City of Crewe | Statement: [Crewe estate, linkedTo, City of Crewe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Crewe
Context triple: [Crewe estate, linkedTo, City of Crewe]
  • A. Crewe chosen
    Crewe is a major railway town in Cheshire, England, historically known as a key junction on the British rail network and a center of railway engineering.
  • B. Crewe Heritage Centre
    Crewe Heritage Centre is a railway museum and visitor attraction in Crewe, England, showcasing historic locomotives, rolling stock, and railway technology.
  • C. Congleton
    Congleton is a historic market town in the county of Cheshire in North West England, known for its industrial heritage and riverside setting.
  • D. Cornbrook
    Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
  • E. City of Clyde Hill
    The City of Clyde Hill is a small, affluent residential municipality in King County, Washington, known for its scenic views and proximity to Seattle and Bellevue.
  • 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_69ca82bd9900819099477cdc2eb4244f completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb440171d48190afa4a312ab19389c completed March 31, 2026, 3:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc949d9c7c81908efb4880f9250166 completed April 1, 2026, 3:44 a.m.
Created at: March 30, 2026, 5:35 p.m.