Triple

T20378601
Position Surface form Disambiguated ID Type / Status
Subject Juvisiens E497757 entity
Predicate associatedWithRiver P165 FINISHED
Object Orge 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: Orge River | Statement: [Juvisiens, associatedWithRiver, Orge River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orge River
Context triple: [Juvisiens, associatedWithRiver, Orge River]
  • A. Orge River chosen
    The Orge River is a tributary of the Seine in northern France that flows through several towns in the Île-de-France region.
  • B. Briance River
    The Briance River is a watercourse in west-central France that flows through the Haute-Vienne department before joining the Vienne River.
  • C. Buëch River
    The Buëch River is a river in southeastern France that flows through the Alps and Provence regions before joining the Durance.
  • D. Deûle River
    The Deûle River is a canalised river in northern France that flows through the city of Lille and serves as an important waterway in the region.
  • E. Beuvron River
    The Beuvron River is a watercourse in north-central France that flows through the Loiret department as a tributary of the Loire.
  • 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_69e0b4a5b7908190a972e4e7e698ae94 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e678af651c8190b4922294a937e699 completed April 20, 2026, 7:04 p.m.
Created at: April 16, 2026, 11:27 a.m.