Triple

T16786658
Position Surface form Disambiguated ID Type / Status
Subject Alford E407996 entity
Predicate hasPostTown P2711 FINISHED
Object ALFORD E407996 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: ALFORD | Statement: [Alford, hasPostTown, ALFORD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ALFORD
Context triple: [Alford, hasPostTown, ALFORD]
  • A. Alford
    Alford is a surname of English origin borne by various notable individuals, including American basketball coach and former player Steve Alford.
  • B. Alford
    Alford is a small rural locality in South Australia, situated inland from the coastal town of Port Broughton on the Yorke Peninsula.
  • C. Alford chosen
    Alford is a small market town in the East Lindsey district of Lincolnshire, England, known for its historic buildings and rural character.
  • D. Alford
    Alford is a small rural town in western Massachusetts known for its scenic landscapes and quiet, residential character.
  • E. Halliford
    Halliford is a locality in Surrey, England, known as part of the Shepperton and Upper Halliford suburban area within the London commuter belt.
  • 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_69d8839270588190886720d9519bbf8f completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3b21a52ac8190b4374aa0fc45683a completed April 18, 2026, 4:32 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00ab07bdcc819086479178e5b8b679 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:22 a.m.