Triple

T871097
Position Surface form Disambiguated ID Type / Status
Subject A24 road E18813 entity
Predicate passesThrough P225 FINISHED
Object Leatherhead E17307 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: Leatherhead | Statement: [A24 road, passesThrough, Leatherhead]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leatherhead
Context triple: [A24 road, passesThrough, Leatherhead]
  • A. Leatherhead chosen
    Leatherhead is a historic market town in the county of Surrey in South East England, situated on the River Mole and serving as a local commercial and commuter hub.
  • B. The Lyons
    The Lyons are the athletic teams and mascot representing Mount Holyoke College in intercollegiate sports.
  • C. Colsterworth
    Colsterworth is a village in Lincolnshire, England, best known for its proximity to Woolsthorpe Manor, the birthplace of Sir Isaac Newton.
  • D. The Pantiles
    The Pantiles is a historic colonnaded promenade and shopping area in Royal Tunbridge Wells, famed for its Georgian architecture, boutiques, and cafés.
  • E. Hannington
    Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
  • 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_69a4938db1f081909bcd1ad2713b6096 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac94d5ac81909feee876696da589 completed March 1, 2026, 9:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69a826d10188819085413db5a7f6bd11 completed March 4, 2026, 12:34 p.m.
Created at: March 1, 2026, 7:39 p.m.