Triple

T4023262
Position Surface form Disambiguated ID Type / Status
Subject Compiègne Forest E91328 entity
Predicate near P350 FINISHED
Object Oise River 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: Oise River | Statement: [Compiègne Forest, near, Oise River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oise River
Context triple: [Compiègne Forest, near, Oise River]
  • 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. Aube River
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • 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. Allier River
    The Allier River is a major river in central France, known for its largely unspoiled natural course and as a tributary of the Loire.
  • E. Voire River
    The Voire River is a small watercourse in northeastern France that flows through the Aube department, including the town of Brienne-le-Château, before joining the Aube River.
  • 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_69aed9618b04819081750d979d2af098 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeface7a788190a0e4e549a6816f91 completed March 9, 2026, 4:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69bef7dcea7481908c4430d07d7213cb completed March 21, 2026, 7:56 p.m.
Created at: March 9, 2026, 3:35 p.m.