Triple

T10665418
Position Surface form Disambiguated ID Type / Status
Subject Bucklebury E251343 entity
Predicate locatedNear P294 FINISHED
Object River Pang E513555 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 Pang | Statement: [Bucklebury, locatedNear, River Pang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Pang
Context triple: [Bucklebury, locatedNear, River Pang]
  • A. River Pang chosen
    The River Pang is a small chalk stream in southern England, known for flowing through Berkshire countryside and inspiring the setting of Kenneth Grahame’s "The Wind in the Willows."
  • B. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • C. River Till
    River Till is a river in the Scottish Borders and northern England that flows through Northumberland before joining the River Tweed.
  • D. River Till
    River Till is a small river in Lincolnshire, England, that flows through rural farmland before joining the River Witham near Lincoln.
  • E. Alingar River
    The Alingar River is a significant river in eastern Afghanistan that flows through mountainous regions including Nuristan Province, supporting local agriculture and settlements along its course.
  • 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_69d6aa5b0d2881909584b20efc5877f0 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6f31f87748190bb44db8afa901763 completed April 9, 2026, 12:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69f71f03e00c819091ae5273aa10fe4b completed May 3, 2026, 10:10 a.m.
Created at: April 8, 2026, 9:08 p.m.