Triple

T19389212
Position Surface form Disambiguated ID Type / Status
Subject Morsang-sur-Orge E485017 entity
Predicate locatedOn P40 FINISHED
Object Orge River E1096216 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: Orge River | Statement: [Morsang-sur-Orge, locatedOn, Orge River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orge River
Context triple: [Morsang-sur-Orge, locatedOn, 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 (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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61b4328448190b6347c41265e820c completed April 20, 2026, 12:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07404270708190b23035146962fc84 completed May 15, 2026, 3:48 p.m.
Created at: April 10, 2026, 1:36 p.m.