Triple

T2907249
Position Surface form Disambiguated ID Type / Status
Subject Leeds Bradford Airport E63594 entity
Predicate nearbyCity P350 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: [Leeds Bradford Airport, nearbyCity, Bradford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bradford
Context triple: [Leeds Bradford Airport, nearbyCity, 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d0628c81909680af2f0db2ecae completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b224a78bbc8190b4f4cdb058d5a176 completed March 12, 2026, 2:27 a.m.
Created at: March 6, 2026, 10:11 p.m.