Triple

T20729841
Position Surface form Disambiguated ID Type / Status
Subject Rench E509542 entity
Predicate hasTributary P415 FINISHED
Object Wolf (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: Wolf (river) | Statement: [Rench, hasTributary, Wolf (river)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wolf (river)
Context triple: [Rench, hasTributary, Wolf (river)]
  • A. Wolf (river) chosen
    The Wolf is a river in the Black Forest region of Baden-Württemberg, Germany, known for flowing through narrow valleys before joining the Kinzig River.
  • B. Wieprz River
    The Wieprz River is a major river in eastern Poland that flows through the Lublin region before joining the Vistula River.
  • C. river Winge
    River Winge is a small river in Flemish Brabant, Belgium, known for flowing through rural municipalities such as Tielt-Winge.
  • D. Warche River
    The Warche River is a watercourse in eastern Belgium that flows through the Ardennes region, including the area around the town of Bütgenbach.
  • E. Wilge River
    The Wilge River is a significant river in South Africa that flows through the Free State and Mpumalanga provinces before joining the Vaal River.
  • 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_69e0b4c589c08190834fb5d86d0efa2b completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c1ec9820819093a07f90503686b2 completed April 21, 2026, 12:16 a.m.
Created at: April 16, 2026, 12:30 p.m.