Triple

T17690970
Position Surface form Disambiguated ID Type / Status
Subject Castle Point E441025 entity
Predicate contains P35 FINISHED
Object Hadleigh NE NERFINISHED

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: Hadleigh | Statement: [Castle Point, contains, Hadleigh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hadleigh
Context triple: [Castle Point, contains, Hadleigh]
  • A. Hadleigh
    Hadleigh is a historic market town in Suffolk, England, known for its medieval buildings and traditional rural character.
  • B. Hadleigh chosen
    Hadleigh is a town in Essex, England, known for its historic castle ruins and position within the borough of Castle Point.
  • C. Halesworth
    Halesworth is a small historic market town in Suffolk, England, known for its traditional high street and proximity to the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
  • D. Lavenham
    Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
  • E. Paglesham
    Paglesham is a small rural village in Essex, England, known historically for its fishing, boatbuilding, and smuggling heritage along the River Roach.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4704b43a88190ba29654ca695839e completed April 19, 2026, 6:03 a.m.
Created at: April 10, 2026, 10:03 a.m.