Triple

T2500137
Position Surface form Disambiguated ID Type / Status
Subject Chatteris E52444 entity
Predicate hasPostTown P2711 FINISHED
Object CHATTERIS E52444 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: CHATTERIS | Statement: [Chatteris, hasPostTown, CHATTERIS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CHATTERIS
Context triple: [Chatteris, hasPostTown, CHATTERIS]
  • A. Chatteris chosen
    Chatteris is a small market town in the Fenland district of Cambridgeshire, England, known for its agricultural surroundings and historic parish church.
  • B. Crieff
    Crieff is a historic market town in central Scotland known for its scenic setting on the edge of the Highlands and its role as a gateway to Perthshire.
  • C. Kincardine
    Kincardine is a small Scottish town on the north shore of the Firth of Forth, known for its historic bridge and industrial heritage.
  • D. Galashiels
    Galashiels is a town in the Scottish Borders known historically for its textile industry and as a regional commercial and educational hub.
  • E. Kirriemuir
    Kirriemuir is a small historic town in eastern Scotland, best known as the birthplace of Peter Pan author J. M. Barrie.
  • 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_69ab4957b3a88190adf968ae0c1b931c completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abd1afd86c81909181c4b45d4f8bc5 completed March 7, 2026, 7:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69af1fa0e26481908e383a6d44b3f3d5 completed March 9, 2026, 7:29 p.m.
Created at: March 6, 2026, 9:46 p.m.