Triple

T21468034
Position Surface form Disambiguated ID Type / Status
Subject River Pont E529643 entity
Predicate hasName P744 FINISHED
Object River Pont 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: River Pont | Statement: [River Pont, hasName, River Pont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Pont
Context triple: [River Pont, hasName, River Pont]
  • A. River Pont chosen
    River Pont is a small river in Northumberland, England, that flows through rural landscapes before joining the River Tyne.
  • B. Nescio Bridge
    Nescio Bridge is a prominent cycling and pedestrian bridge in Amsterdam known for its elegant, award-winning design spanning the Amsterdam–Rhine Canal.
  • C. River Brock
    River Brock is a small river in Lancashire, England, known for flowing through the Forest of Bowland before joining the River Wyre.
  • D. Red Bridge
    Red Bridge is the common name for Luxembourg City's Grand Duchess Charlotte Bridge, a prominent steel arch bridge spanning the Alzette valley and connecting the city center with the Kirchberg district.
  • E. Red Bridge
    Red Bridge is a notable road bridge spanning the Tukituki River in the Hawke’s Bay region of New Zealand.
  • 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_69e0c459acb481909bb6ee452a0045c7 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69e9e9f415d48190a2b0993a4f3c018f completed April 23, 2026, 9:44 a.m.
Created at: April 16, 2026, 6:15 p.m.