Triple

T11795063
Position Surface form Disambiguated ID Type / Status
Subject Ribble catchment E280484 entity
Predicate containsRiver P165 FINISHED
Object River Hodder E68443 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 Hodder | Statement: [Ribble catchment, containsRiver, River Hodder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Hodder
Context triple: [Ribble catchment, containsRiver, River Hodder]
  • A. River Hodder chosen
    River Hodder is a river in Lancashire, England, known for flowing through the Forest of Bowland and joining the River Ribble near Great Mitton.
  • B. Ager River
    The Ager River is a watercourse in Upper Austria that flows through the Salzkammergut region and ultimately joins the Traun River.
  • C. River Brent
    The River Brent is a tributary of the River Thames in West London, flowing through several London boroughs and giving its name to the London Borough of Brent.
  • D. River Brun
    River Brun is a small river in Lancashire, England, that flows through the town of Burnley and contributes to its local landscape and waterways.
  • 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 (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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417604a7c819097a601880b88ea6a completed May 1, 2026, 3 a.m.
Created at: April 8, 2026, 9:42 p.m.