Triple

T22641324
Position Surface form Disambiguated ID Type / Status
Subject Ogndal E558832 entity
Predicate namedAfter P63 FINISHED
Object Ogna river 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: Ogna river | Statement: [Ogndal, namedAfter, Ogna river]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogna river
Context triple: [Ogndal, namedAfter, Ogna river]
  • A. Ogna river chosen
    The Ogna river is a Norwegian watercourse that drains surrounding inland areas and flows into the Beitstadfjorden, an inner branch of the Trondheimsfjord.
  • B. Ource River
    The Ource River is a small river in northeastern France that flows through the Champagne region, including the village of Essoyes, before joining the Seine.
  • C. Qu River
    The Qu River is a tributary waterway in southwestern China that feeds into the larger Jialing River system.
  • D. Atella River
    The Atella River is a minor watercourse in southern Italy that feeds into the larger Ofanto River within the Basilicata region.
  • E. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • 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_69e24547f7fc819086e2c4ba3b979657 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f170116fe881908178cffef26e3ae7 completed April 29, 2026, 2:42 a.m.
Created at: April 17, 2026, 3:04 p.m.