Triple

T21324863
Position Surface form Disambiguated ID Type / Status
Subject River Maun E525723 entity
Predicate locatedNear P294 FINISHED
Object Clipstone 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: Clipstone | Statement: [River Maun, locatedNear, Clipstone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clipstone
Context triple: [River Maun, locatedNear, Clipstone]
  • A. Clipstone chosen
    Clipstone is a village in Nottinghamshire, England, historically associated with Sherwood Forest and coal mining.
  • B. Swepstone
    Swepstone is a small rural village located in the North West Leicestershire district of England.
  • C. Silkstone
    Silkstone is a residential suburb within the city of Ipswich in Queensland, Australia, known for its quiet streets and local community amenities.
  • D. Simonstone
    Simonstone is a small village and civil parish in the Ribble Valley district of Lancashire, England, known for its rural setting and proximity to the River Calder.
  • E. Chalki
    Chalki is a small, tranquil Greek island in the Aegean Sea, known for its picturesque harbor, neoclassical houses, and relatively untouched, traditional character compared to other Dodecanese islands.
  • 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_69e0b51b90788190a4dd823d962626da completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed7732c8190a0e7aec6e7cbcef2 completed April 21, 2026, 1:42 p.m.
Created at: April 16, 2026, 4:41 p.m.