Triple

T3242687
Position Surface form Disambiguated ID Type / Status
Subject Partington E67997 entity
Predicate nearbyTown P3883 FINISHED
Object Irlam E61709 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: Irlam | Statement: [Partington, nearbyTown, Irlam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irlam
Context triple: [Partington, nearbyTown, Irlam]
  • A. Irlam chosen
    Irlam is a suburban town in the City of Salford, Greater Manchester, England, situated on the Manchester Ship Canal and historically known for its industrial and transport links.
  • B. Urmston
    Urmston is a suburban town in Greater Manchester, England, known primarily as a residential area within the Metropolitan Borough of Trafford.
  • C. Newton-le-Willows
    Newton-le-Willows is a market town in northwestern England known for its historic role in early railway development and its location between Liverpool and Manchester.
  • D. Litherland
    Litherland is a suburban town in Merseyside, England, situated to the north of Liverpool within its wider urban area.
  • E. Altrincham
    Altrincham is a market town in Greater Manchester, England, known for its historic center, commuter links to Manchester, and revitalized food and retail scene.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf17463481909447f6ab46016407 completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b27757dff0819081a26aea52ede49d completed March 12, 2026, 8:20 a.m.
Created at: March 8, 2026, 3:08 p.m.