Triple

T344240
Position Surface form Disambiguated ID Type / Status
Subject River Douglas E6903 entity
Predicate alsoKnownAs P39 FINISHED
Object River Asland E80337 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 Asland | Statement: [River Douglas, alsoKnownAs, River Asland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Asland
Context triple: [River Douglas, alsoKnownAs, River Asland]
  • A. Ilave River
    The Ilave River is a watercourse in southern Peru that drains part of the Altiplano and feeds into Lake Titicaca.
  • B. Versoix River
    The Versoix River is a small river in western Switzerland that flows through the canton of Geneva before emptying into Lake Geneva.
  • C. Opalescent River
    The Opalescent River is a scenic mountain river in New York’s Adirondack High Peaks region, known as one of the headwater streams contributing to the Hudson River.
  • D. River Yarrow chosen
    River Yarrow is a river in Lancashire, England, known for flowing through the towns of Chorley and Croston before joining the River Douglas.
  • E. River Granta
    The River Granta is a tributary watercourse in Cambridgeshire, England, that forms part of the upper reaches of the River Cam and flows through rural villages before joining the main river near Cambridge.
  • 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_69a2e7951ba08190960e90823b5078f3 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2eb01261c81909280128b5ce75eff completed Feb. 28, 2026, 1:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac256a80f08190841759d0f6132e24 completed March 7, 2026, 1:17 p.m.
Created at: Feb. 28, 2026, 1:08 p.m.