Triple

T11700193
Position Surface form Disambiguated ID Type / Status
Subject Ribemont E278102 entity
Predicate locatedOn P40 FINISHED
Object river Oise E326194 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: river Oise | Statement: [Ribemont, locatedOn, river Oise]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Oise
Context triple: [Ribemont, locatedOn, river Oise]
  • A. Oise River chosen
    The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
  • B. river Orge
    The river Orge is a tributary of the Seine in the Île-de-France region of northern France, flowing through several suburban towns south of Paris.
  • C. Essonne River
    The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
  • D. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • E. Sée River
    The Sée River is a coastal river in northwestern France that flows through Normandy before emptying into the Bay of Mont-Saint-Michel.
  • 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_69d6aafe02d881909900d54ad7d4af84 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49a025881909377c81d3debf465 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b788308190bd9c3b68569bc56a completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:40 p.m.