Triple

T23044389
Position Surface form Disambiguated ID Type / Status
Subject White Cart Viaduct E573835 entity
Predicate crosses P416 FINISHED
Object White Cart Water 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: White Cart Water | Statement: [White Cart Viaduct, crosses, White Cart Water]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Cart Water
Context triple: [White Cart Viaduct, crosses, White Cart Water]
  • A. White Cart Water chosen
    White Cart Water is a river in west-central Scotland that flows through Paisley and into the River Clyde, historically important for powering local industry and shaping the town’s development.
  • B. King Water
    King Water is a small river in Cumbria, England, that serves as one of the tributaries feeding into the River Eden.
  • C. Lightwater
    Lightwater is a village and civil parish in the English county of Surrey, known for its residential character and proximity to heathland and countryside.
  • D. Springwater
    Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
  • E. Springwater
    Springwater is a small rural community located within Waushara County in central Wisconsin.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1851811e08190a5af6a112687327e completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:54 p.m.