Triple

T8045431
Position Surface form Disambiguated ID Type / Status
Subject Taffs Well Thermal Spring E187537 entity
Predicate locatedIn P40 FINISHED
Object Taffs Well E187537 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: Taffs Well | Statement: [Taffs Well Thermal Spring, locatedIn, Taffs Well]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Taffs Well
Context triple: [Taffs Well Thermal Spring, locatedIn, Taffs Well]
  • A. Taffs Well chosen
    Taffs Well is a village in South Wales known for its historic thermal spring and proximity to Cardiff at the southern end of the Taff Valley.
  • B. Styal
    Styal is a village in Cheshire, England, known for its historic cotton mill and role in the early Industrial Revolution.
  • C. Crythin Gifford
    Crythin Gifford is a remote, fog-shrouded English village in Susan Hill’s ghost story "The Woman in Black," known as the unsettling setting of Arthur Kipps’s haunting experiences.
  • D. Llanwrtyd Wells
    Llanwrtyd Wells is a small town in Powys, mid Wales, known as one of the smallest towns in the United Kingdom and for hosting quirky events such as the World Bog Snorkelling Championships.
  • E. Herne
    Herne is a city in the Ruhr area of North Rhine-Westphalia, Germany, known for its industrial heritage and dense urban character.
  • 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_69ca82b00cb48190b59a300f70e97bd7 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3f4c79388190aecee6e313071a17 completed March 31, 2026, 3:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc5711d2bc8190911f2cade7596be5 completed March 31, 2026, 11:21 p.m.
Created at: March 30, 2026, 5:24 p.m.