Triple

T13239354
Position Surface form Disambiguated ID Type / Status
Subject Ter E315238 entity
Predicate hasTributary P415 FINISHED
Object Riu Onyar E908113 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: Riu Onyar | Statement: [Ter, hasTributary, Riu Onyar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Riu Onyar
Context triple: [Ter, hasTributary, Riu Onyar]
  • A. Ibi River
    The Ibi River is a major river in central Japan that flows through Gifu and Mie Prefectures as part of the Kiso River system.
  • B. Albaida River
    The Albaida River is a watercourse in the Valencian Community of eastern Spain that flows through towns such as Xàtiva before joining the Júcar River.
  • C. Bernesga River
    The Bernesga River is a watercourse in northwestern Spain that flows through the city of León before joining the Esla River.
  • D. Besòs River chosen
    The Besòs River is a short Mediterranean river in northeastern Spain that flows through the Barcelona metropolitan area and has been the focus of major environmental restoration and urban redevelopment efforts.
  • E. Inva River
    The Inva River is a tributary waterway in Russia that feeds into the larger Kama River within the Volga basin.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5850ac8190849a51da39efe5be completed April 10, 2026, 11:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff323a3c8190b46b24e69e653105 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.