Triple

T20579510
Position Surface form Disambiguated ID Type / Status
Subject Mendip district E505314 entity
Predicate contains P35 FINISHED
Object Nunney
Nunney is a historic village in Somerset, England, noted for its medieval moated castle and picturesque rural setting.
E1439175 NE FINISHED

How this triple was built (4 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: Nunney | Statement: [Mendip district, contains, Nunney]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nunney
Context triple: [Mendip district, contains, Nunney]
  • A. Minstead
    Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
  • B. Moretonhampstead
    Moretonhampstead is a historic market town on the edge of Dartmoor in Devon, England, known for its picturesque setting and traditional architecture.
  • C. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • D. Parnall
    Parnall is a Michigan state prison facility that houses adult male inmates and is part of the Jackson-area prison complex.
  • E. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nunney
Triple: [Mendip district, contains, Nunney]
Generated description
Nunney is a historic village in Somerset, England, noted for its medieval moated castle and picturesque rural setting.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Nunney
Target entity description: Nunney is a historic village in Somerset, England, noted for its medieval moated castle and picturesque rural setting.
  • A. Minstead
    Minstead is a small village in Hampshire, England, best known as the burial place of Sir Arthur Conan Doyle.
  • B. Moretonhampstead
    Moretonhampstead is a historic market town on the edge of Dartmoor in Devon, England, known for its picturesque setting and traditional architecture.
  • C. Yarnton
    Yarnton is a rural village in Oxfordshire, England, known for its historic church, manor house, and proximity to the city of Oxford.
  • D. Parnall
    Parnall is a Michigan state prison facility that houses adult male inmates and is part of the Jackson-area prison complex.
  • E. Coryton
    Coryton is a suburban area and railway terminus in Cardiff, Wales, served by local commuter trains.
  • F. None of above. chosen

Provenance (5 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_69e0b4b721588190993ac7b0a9be2736 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6a90dd3e881908915debe1f1e8509 completed April 20, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08aceaa8dc819094d7ba5e7aa0d24e completed May 16, 2026, 5:44 p.m.
NEDg Description generation batch_6a08b0b7e9908190866a9929f88c2b2b completed May 16, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_6a08b18f6ab08190a726e7cca7b8787f completed May 16, 2026, 6:03 p.m.
Created at: April 16, 2026, 11:39 a.m.