Triple

T23255451
Position Surface form Disambiguated ID Type / Status
Subject Charing E581855 entity
Predicate hasPostTown P2711 FINISHED
Object ASHFORD NE NERFINISHED

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: [Charing, hasPostTown, ASHFORD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ASHFORD
Context triple: [Charing, hasPostTown, ASHFORD]
  • A. ASHFORD
    ASHFORD is a town in the borough of Spelthorne in Surrey, England, forming part of the London commuter belt.
  • B. Ashford chosen
    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.
  • C. Ashford
    Ashford is a town in the Reach, a fertile and populous region of the continent of Westeros in the world of "A Song of Ice and Fire."
  • D. Ashford
    Ashford is an English-language surname of Old English origin, commonly associated with various notable individuals and several towns in England.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e246079f58819085eaa9c260906880 completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f193fadac881908579b5729718ee41 completed April 29, 2026, 5:15 a.m.
Created at: April 17, 2026, 4:11 p.m.