Triple

T2948270
Position Surface form Disambiguated ID Type / Status
Subject Charles Trubshaw E79555 entity
Predicate workLocation P7 FINISHED
Object Bradford E52464 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: Bradford | Statement: [Charles Trubshaw, workLocation, Bradford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradford
Context triple: [Charles Trubshaw, workLocation, Bradford]
  • A. Bradford chosen
    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.
  • B. Bolton
    Bolton is a large town in North West England known for its industrial heritage, particularly in textile manufacturing, and its location northwest of Manchester.
  • C. Bolton
    Bolton is a small town located in Hartford County in the U.S. state of Connecticut.
  • D. Leeds
    Leeds is a major city in West Yorkshire, England, known as a key commercial, cultural, and educational center in the north of the country.
  • E. Huddersfield
    Huddersfield is a large market town in West Yorkshire, England, known for its Victorian architecture, university, and role in the Industrial Revolution.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b6cab88190b4dee7e5ec9347e5 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b24b079a808190adcbac948ad067e9 completed March 12, 2026, 5:11 a.m.
Created at: March 8, 2026, 2:57 p.m.