Triple

T17704766
Position Surface form Disambiguated ID Type / Status
Subject Cambridge May Bumps E441401 entity
Predicate location P40 FINISHED
Object River Cam 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 Cam | Statement: [Cambridge May Bumps, location, River Cam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Cam
Context triple: [Cambridge May Bumps, location, River Cam]
  • A. River Cam chosen
    The River Cam is a picturesque river in eastern England best known for flowing through the historic city and university of Cambridge, where it is famous for punting and scenic college views.
  • B. Aire River
    Aire River is a watercourse in the canton of Geneva, Switzerland, known for flowing through rural landscapes and forming part of the local municipal boundaries.
  • C. River Inch
    River Inch is a smaller watercourse in County Clare, Ireland, that feeds into the River Fergus as one of its tributary streams.
  • D. River Ouse
    The River Ouse is a major river in East Sussex, England, flowing through towns such as Lewes before reaching the English Channel at Newhaven.
  • E. River Ouse
    River Ouse is a river in Tasmania, Australia, known for flowing through the central highlands and contributing to the region’s hydroelectric and agricultural systems.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47296770c8190b6b172fb647da564 completed April 19, 2026, 6:13 a.m.
Created at: April 10, 2026, 10:05 a.m.