Triple

T1163334
Position Surface form Disambiguated ID Type / Status
Subject Caterham E24541 entity
Predicate postTown P2711 FINISHED
Object Caterham E24541 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: Caterham | Statement: [Caterham, postTown, Caterham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caterham
Context triple: [Caterham, postTown, Caterham]
  • A. Caterham chosen
    Caterham is a town in the Tandridge district of Surrey, England, known as a commuter settlement on the edge of the London metropolitan area.
  • B. Enstone
    Enstone is a rural village in Oxfordshire, England, known for its historic buildings and picturesque Cotswold countryside setting.
  • C. Bentley, Hampshire
    Bentley, Hampshire is a small rural village in southern England known for its traditional countryside setting and proximity to the town of Alton.
  • D. Goodwood
    Goodwood is the codename for Operation Goodwood, a major British armoured offensive conducted during the Battle of Normandy in World War II.
  • E. Hartley
    Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
  • 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_69a494060e148190abb42f971242c197 completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bcc9dc5081908e225a485186ab12 completed March 1, 2026, 10:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac6f15a9ac8190802f66f3699fbbe7 completed March 7, 2026, 6:31 p.m.
Created at: March 1, 2026, 7:45 p.m.