Triple

T6253232
Position Surface form Disambiguated ID Type / Status
Subject TW postcode area E140097 entity
Predicate coversTown P847 FINISHED
Object Ashford E170557 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: Ashford | Statement: [TW postcode area, coversTown, Ashford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ashford
Context triple: [TW postcode area, coversTown, Ashford]
  • A. Ashford
    Ashford is a large and rapidly growing town in the county of Kent in southeast England, known as a key transport hub with high-speed rail links to London and continental Europe.
  • B. Ashford
    Ashford is a small rural town in northern New South Wales, Australia, known for agriculture and its proximity to natural attractions such as caves and rivers.
  • C. ASHFORD chosen
    ASHFORD is a town in the borough of Spelthorne in Surrey, England, forming part of the London commuter belt.
  • D. New Ashford
    New Ashford is a small rural town in western Massachusetts, United States, known for its scenic setting in the Berkshires.
  • E. Bedford
    Bedford is a small suburban city located in northeastern Ohio within the Greater Cleveland metropolitan area.
  • 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_69c008b4858c819095b0199114a9a87b completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c063417c8c8190945049881819d307 completed March 22, 2026, 9:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69c2442a556081908b91e7d999a82514 completed March 24, 2026, 7:58 a.m.
Created at: March 22, 2026, 4:24 p.m.