Triple

T15635049
Position Surface form Disambiguated ID Type / Status
Subject 1957 Valencia flood E375919 entity
Predicate mainRiver P165 FINISHED
Object Turia River E77332 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: Turia River | Statement: [1957 Valencia flood, mainRiver, Turia River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turia River
Context triple: [1957 Valencia flood, mainRiver, Turia River]
  • A. Turia River chosen
    The Turia River is a major river in eastern Spain that flows through the city of Valencia and has significantly shaped its history, landscape, and urban development.
  • B. Turia River
    The Turia River is a tributary watercourse that feeds into the Pripyat River within the Pripyat basin of Eastern Europe.
  • C. Tura River
    The Tura River is a significant waterway in western Siberia, Russia, flowing through the Ural region and serving as an important tributary of the Tobol River.
  • D. Kosa River
    The Kosa River is a waterway in Russia that flows through the Perm Krai region as part of the Kama River basin.
  • E. Min River
    The Min River is a significant river in southwestern China that flows through Sichuan Province and plays a key role in the region’s ecology, agriculture, and water resources.
  • 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_69d85cd035a48190b73d5579ab73969a completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04eb8b4c48190b80fea6877483089 completed April 16, 2026, 2:51 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff82e921e48190b5b5f4006ad65844 completed May 9, 2026, 6:54 p.m.
Created at: April 10, 2026, 4:14 a.m.