Triple

T8475131
Position Surface form Disambiguated ID Type / Status
Subject Solapur district E200370 entity
Predicate hasRiver P165 FINISHED
Object Sina River E224859 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: Sina River | Statement: [Solapur district, hasRiver, Sina River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sina River
Context triple: [Solapur district, hasRiver, Sina River]
  • A. Sina River chosen
    The Sina River is a significant tributary in western India that contributes to the Bhima River system within the larger Krishna River basin.
  • B. Yarkand River
    The Yarkand River is a major river in China’s Xinjiang region that flows through the southwestern Tarim Basin and contributes significantly to the Tarim River system.
  • C. Tarim River
    The Tarim River is the longest inland river in China, flowing through the arid Tarim Basin in Xinjiang and sustaining oases along the edge of the Taklamakan Desert.
  • D. Shiyang River
    The Shiyang River is an inland river system in northwestern China that flows from the Qilian Mountains into the arid Hexi Corridor, supporting agriculture and oasis settlements in an otherwise desert region.
  • E. Sinos River
    The Sinos River is a significant river in the southern Brazilian state of Rio Grande do Sul that flows through the metropolitan region of Porto Alegre.
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4f89e0081909e74beb7c8f55653 completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfab16ebd08190a4851e70a41e9908 completed April 3, 2026, 11:57 a.m.
Created at: March 30, 2026, 6:11 p.m.