Triple

T3624448
Position Surface form Disambiguated ID Type / Status
Subject M5 motorway E76802 entity
Predicate passesThrough P225 FINISHED
Object Bristol area E16444 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: Bristol area | Statement: [M5 motorway, passesThrough, Bristol area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bristol area
Context triple: [M5 motorway, passesThrough, Bristol area]
  • A. Bristol chosen
    Bristol is a historic port city in southwest England known for its maritime heritage, vibrant cultural scene, and distinctive Georgian and Victorian architecture.
  • B. Bristol
    Bristol is a city in central Connecticut known for being the home of ESPN and for its historic clock-making industry.
  • C. Bristol
    Bristol is a city in central Connecticut known historically for its clock-making industry and as the longtime home of ESPN’s headquarters.
  • D. Bristol
    Bristol is a small town located in Dane County in the U.S. state of Wisconsin.
  • E. Bristol Avon
    Bristol Avon is a major river in southwest England that flows through Bristol before emptying into the Severn Estuary.
  • 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_69ad85dc03948190b35b7189e4175bcc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc2d9845c8190ad65b2471000dfa0 completed March 8, 2026, 6:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b44f0e8d1c8190ae1728d07d5a9e87 completed March 13, 2026, 5:53 p.m.
Created at: March 8, 2026, 3:23 p.m.