Triple

T4401608
Position Surface form Disambiguated ID Type / Status
Subject Hart District E93629 entity
Predicate namedAfter P63 FINISHED
Object River Hart E436906 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: River Hart | Statement: [Hart District, namedAfter, River Hart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Hart
Context triple: [Hart District, namedAfter, River Hart]
  • A. River Hart chosen
    The River Hart is a small river in Hampshire, England, that flows through the Hart District and contributes to the area's rural landscape and local ecosystems.
  • B. River Brosna
    River Brosna is a river in Ireland that flows through counties such as Westmeath and Offaly before joining the River Shannon.
  • C. River Roden
    River Roden is a small river in Shropshire, England, that flows through rural countryside before joining the River Tern.
  • D. River Bain
    River Bain is a river in Lincolnshire, England, known for flowing through the town of Horncastle before joining the River Witham.
  • E. River Brett
    River Brett is a small river in Suffolk, England, known for flowing through rural countryside and traditional market towns before joining the River Stour.
  • 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_69b345158c748190a2c040fce2da9980 completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b352cf218481908d072fec58361f28 completed March 12, 2026, 11:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69b6135ecdc08190b2a7458614cf4c54 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:28 p.m.