Triple

T8803934
Position Surface form Disambiguated ID Type / Status
Subject Marr area E209476 entity
Predicate containsTown P847 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: [Marr area, containsTown, Alford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alford
Context triple: [Marr area, containsTown, 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 town in western Massachusetts known for its scenic landscapes and quiet, residential character.
  • 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. Forsythe
    Forsythe is a surname most prominently associated with American choreographer William Forsythe, renowned for his innovative contributions to contemporary ballet.
  • E. Oakey
    Oakey is a rural town in Queensland, Australia, situated on the Darling Downs west of Toowoomba.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fbe15b081909e87dab6b5029d04 completed March 31, 2026, 11:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6f8e4eac819097470566d325b385 completed April 3, 2026, 7:43 a.m.
Created at: March 30, 2026, 6:44 p.m.