Triple

T13763152
Position Surface form Disambiguated ID Type / Status
Subject Thelnetham E330664 entity
Predicate locatedIn P40 FINISHED
Object Thelnetham civil parish E330664 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: Thelnetham civil parish | Statement: [Thelnetham, locatedIn, Thelnetham civil parish]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thelnetham civil parish
Context triple: [Thelnetham, locatedIn, Thelnetham civil parish]
  • A. Thelnetham chosen
    Thelnetham is a small rural village and civil parish in the English county of Suffolk, known for its traditional countryside character and historic buildings.
  • B. South Witham
    South Witham is a village in Lincolnshire, England, situated near the River Witham and known for its rural character and historic setting.
  • C. Flintham
    Flintham is a small rural village in Nottinghamshire, England, known for its historic church, traditional architecture, and surrounding agricultural landscape.
  • D. Great Totham
    Great Totham is a village and civil parish in the Maldon District of Essex, England, known for its rural character and historic buildings.
  • E. Thundersley
    Thundersley is a suburban area and former village in Essex, England, now largely residential and integrated into the Southend-on-Sea commuter belt.
  • 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_69d81c583b0081909e408a17db517a21 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02250f4881908d5193b3d5d25844 completed April 14, 2026, 9 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7a862e6808190b8fbb27304212058 completed May 3, 2026, 7:56 p.m.
Created at: April 9, 2026, 10:10 p.m.