Triple

T14968757
Position Surface form Disambiguated ID Type / Status
Subject Wurm River E373260 entity
Predicate tributaryOf P415 FINISHED
Object Rur E1130121 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: Rur | Statement: [Wurm River, tributaryOf, Rur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rur
Context triple: [Wurm River, tributaryOf, Rur]
  • A. Rur chosen
    The Rur is a river in western Europe that flows through Belgium, Germany, and the Netherlands before joining the Meuse.
  • B. Rugii
    The Rugii were an East Germanic tribe known from late antiquity, associated with regions around the Baltic Sea and later parts of Central Europe.
  • C. Rohuneeme
    Rohuneeme is a coastal village in northern Estonia known for its scenic peninsula, beaches, and proximity to the capital city Tallinn.
  • D. Unrug
    Unrug is a Polish noble surname most notably associated with Józef Unrug, a distinguished Polish Navy admiral and World War II commander.
  • E. Rumuokurusi
    Rumuokurusi is a prominent urban community in Obio-Akpor, Rivers State, Nigeria, known for its commercial activity and strategic location within the Port Harcourt metropolitan area.
  • 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_69d85ccbbcd48190acb56e7cf104d8ad completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6e44cb0819096e09f8026ef8174 completed April 15, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe969112d8819094e5d81a8ffa3b8a completed May 9, 2026, 2:06 a.m.
Created at: April 10, 2026, 2:48 a.m.