Triple

T6090499
Position Surface form Disambiguated ID Type / Status
Subject Leek E135749 entity
Predicate locatedNear P294 FINISHED
Object River Churnet E426946 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 Churnet | Statement: [Leek, locatedNear, River Churnet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Churnet
Context triple: [Leek, locatedNear, River Churnet]
  • A. River Churnet chosen
    The River Churnet is a river in Staffordshire, England, known for flowing through the Churnet Valley and its association with former industrial sites and scenic countryside.
  • B. 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.
  • 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. Gavaraget River
    The Gavaraget River is a watercourse in Armenia that serves as one of the tributaries feeding into Lake Sevan.
  • E. Kalix River
    The Kalix River is a major free-flowing river in northern Sweden that runs through Norrbotten County before emptying into the Bothnian Bay of the Baltic 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_69c0087bcc788190b20f093d3a6c60ec completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c057aa192081908619d3518d4efa7a completed March 22, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_69c14153e95081909e0d77cb48733561 completed March 23, 2026, 1:34 p.m.
Created at: March 22, 2026, 4:12 p.m.