Triple

T20470834
Position Surface form Disambiguated ID Type / Status
Subject canton of Senlis E502187 entity
Predicate contains P35 FINISHED
Object Ognon 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: Ognon | Statement: [canton of Senlis, contains, Ognon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ognon
Context triple: [canton of Senlis, contains, Ognon]
  • A. Ognon River chosen
    The Ognon River is a waterway in eastern France that flows through the Bourgogne-Franche-Comté region before joining the Saône River.
  • B. Orava River
    The Orava River is a significant river in northern Slovakia that flows through the Orava region before joining the Váh River.
  • C. Ogna
    Ogna is a river in Trøndelag county, Norway, known for flowing through the municipality of Steinkjer.
  • D. Berounka River
    The Berounka River is a significant river in the Czech Republic that flows through western and central Bohemia, known for its scenic valleys, recreational activities, and role as a tributary of the Vltava River.
  • E. Ognon basin
    The Ognon basin is the drainage area of the Ognon River in eastern France, a notable tributary system within the larger Saône River watershed.
  • 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_69e0b4ae5f1081908768b0c9a3a0bf38 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e699608d7c8190910217817e789915 completed April 20, 2026, 9:23 p.m.
Created at: April 16, 2026, 11:33 a.m.