Triple

T5393436
Position Surface form Disambiguated ID Type / Status
Subject Rowledge E120589 entity
Predicate governingCounty P4770 FINISHED
Object Surrey County E513228 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: Surrey County | Statement: [Rowledge, governingCounty, Surrey County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surrey County
Context triple: [Rowledge, governingCounty, Surrey County]
  • A. Surrey County chosen
    Surrey County is a historic and predominantly suburban county in South East England, known for its affluent towns, extensive green spaces, and proximity to London.
  • B. Buckinghamshire
    Buckinghamshire is a ceremonial and non-metropolitan county in South East England, known for its historic towns, Chiltern Hills countryside, and proximity to London.
  • C. West Sussex
    West Sussex is a county in South East England known for its mix of coastal towns, rural countryside, and historic market settlements.
  • D. Hertfordshire
    Hertfordshire is a county in southern England known for its historic market towns, countryside, and proximity to London.
  • E. Bedfordshire
    Bedfordshire is a ceremonial and non-metropolitan county in the East of England, known for its mix of rural countryside, market towns, and the large town of Luton.
  • 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_69bd4637b92c8190b815b6443ae4b323 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd871b81d08190993928e2c6251226 completed March 20, 2026, 5:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0bf45fbf08190b2b98f3eb75eafa3 completed March 23, 2026, 4:19 a.m.
Created at: March 20, 2026, 2:04 p.m.