Triple

T23083650
Position Surface form Disambiguated ID Type / Status
Subject Cullompton E575543 entity
Predicate locatedNear P294 FINISHED
Object River Culm 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 Culm | Statement: [Cullompton, locatedNear, River Culm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Culm
Context triple: [Cullompton, locatedNear, River Culm]
  • A. River Culm chosen
    The River Culm is a river in Devon, England, that flows through the Culm Valley and towns such as Cullompton before joining the River Exe near Exeter.
  • B. River Croal
    River Croal is a small river in Greater Manchester, England, that flows through Bolton before joining the River Irwell.
  • C. River Yealm
    The River Yealm is a scenic tidal river in Devon, England, known for its wooded estuary, sailing, and the picturesque villages along its banks.
  • D. River Whye
    River Whye is a fictional river in Stephen King’s Dark Tower universe, flowing through the central realm known as Mid-World.
  • E. Lez River
    The Lez River is a short coastal river in southern France that flows through the city of Montpellier before emptying into the Mediterranean Sea.
  • 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_69e245bf3e3c819086d3448720efc01b completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18da304548190ab7a421c1ded0eb6 completed April 29, 2026, 4:48 a.m.
Created at: April 17, 2026, 3:56 p.m.