Triple

T22641339
Position Surface form Disambiguated ID Type / Status
Subject Ogndal E558832 entity
Predicate hasRiver P165 FINISHED
Object Ogna 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 | Statement: [Ogndal, hasRiver, Ogna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ogna
Context triple: [Ogndal, hasRiver, Ogna]
  • A. Ogna chosen
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • B. Ogna
    Ogna is a small village and railway station area in Hå municipality in Rogaland county, Norway, located along the southwestern coast.
  • C. Ogone
    Ogone is a European online payment service provider that offers secure payment processing solutions for e-commerce and other digital businesses.
  • D. Olinia
    Olinia is a genus of flowering plants in the family Oliniaceae, comprising shrubs and small trees native mainly to southern Africa.
  • E. Ondava
    Ondava is a river in eastern Slovakia that flows through the Carpathian region and forms part of the watershed of the Bodrog and Tisza river systems.
  • 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.