Triple

T12536713
Position Surface form Disambiguated ID Type / Status
Subject Yoxford E299709 entity
Predicate nearestTown P350 FINISHED
Object Saxmundham E309042 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: Saxmundham | Statement: [Yoxford, nearestTown, Saxmundham]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Saxmundham
Context triple: [Yoxford, nearestTown, Saxmundham]
  • A. Saxmundham chosen
    Saxmundham is a small market town in the English county of Suffolk, known as a local commercial and transport hub for the surrounding rural area.
  • B. Cheshunt
    Cheshunt is a town in Hertfordshire, England, situated just north of London and known as a commuter hub with rail links into the capital.
  • C. Shenfield
    Shenfield is a suburban town in Essex, England, known as a key commuter hub with a major railway station connecting to London.
  • D. Orsett
    Orsett is a village and civil parish in the borough of Thurrock in Essex, England, known for its historic church and traditional village green.
  • E. Saffron Walden
    Saffron Walden is a historic market town in Essex, England, known for its well-preserved medieval architecture and former saffron trade.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546d3b2081908d3e0659f8f13678 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eb10618819092540de09997a0c5 completed May 2, 2026, 8:29 p.m.
Created at: April 8, 2026, 9:57 p.m.