Triple

T2017389
Position Surface form Disambiguated ID Type / Status
Subject Worsley E44025 entity
Predicate postTown P2711 FINISHED
Object MANCHESTER E114 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: MANCHESTER | Statement: [Worsley, postTown, MANCHESTER]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MANCHESTER
Context triple: [Worsley, postTown, MANCHESTER]
  • A. Manchester chosen
    Manchester is a major city in northwest England known for its industrial heritage, vibrant cultural scene, and influential contributions to music, sport, and science.
  • B. Manchester
    Manchester is the most populous city in the U.S. state of New Hampshire and a major economic and cultural center for the region.
  • C. Bradford
    Bradford is a major city in West Yorkshire, Northern England, known for its industrial heritage, diverse population, and role in the wool and textile industries.
  • D. York
    York is a historic walled city in North Yorkshire, England, renowned for its medieval architecture, including York Minster, and its rich Roman and Viking heritage.
  • E. York
    York is a historic former municipality in Ontario, Canada, that is now part of the modern city of Toronto.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ccdb7c81909f6b3c96f79fcdfc completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae270a8cd88190a17839c345424ccd completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:38 p.m.