Triple

T10953574
Position Surface form Disambiguated ID Type / Status
Subject Château de Brienne E258783 entity
Predicate locatedNear P294 FINISHED
Object River Aube E297584 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 Aube | Statement: [Château de Brienne, locatedNear, River Aube]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Aube
Context triple: [Château de Brienne, locatedNear, River Aube]
  • A. Aube River chosen
    The Aube River is a major waterway in northeastern France that flows through the Champagne region before joining the Seine.
  • B. 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.
  • C. Aure River
    The Aure River is a small waterway in Normandy, northwestern France, that flows through the historic town of Bayeux before joining the Vire River.
  • D. 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.
  • E. 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.
  • 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_69d6aa88500c819097d7032ca578e74f completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770fe4cfc81909032296c31e077f0 completed April 9, 2026, 9:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69f60a4d8a3481909c7f8a529d0051c2 completed May 2, 2026, 2:29 p.m.
Created at: April 8, 2026, 9:23 p.m.