Triple

T14258963
Position Surface form Disambiguated ID Type / Status
Subject Gandipet Lake E353460 entity
Predicate onRiver P165 FINISHED
Object Musi 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: Musi River | Statement: [Gandipet Lake, onRiver, Musi River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Musi River
Context triple: [Gandipet Lake, onRiver, Musi River]
  • A. Musi River chosen
    The Musi River is a significant river in the Deccan region of India that flows through the city of Hyderabad, historically shaping its development and water supply.
  • B. Musi River
    The Musi River is a major river in southern Sumatra, Indonesia, that flows through the city of Palembang and serves as an important transportation and economic lifeline for the region.
  • C. Velino River
    The Velino River is a watercourse in central Italy that flows through the city of Rieti before joining the Nera River near Terni.
  • D. Buna River
    The Buna River is a short but significant karst river in southern Bosnia and Herzegovina, renowned for its powerful spring at Blagaj and its clear, cold waters.
  • E. Uvod River
    The Uvod River is a waterway in western Russia that serves as a tributary within the Volga basin, contributing to the regional river network and local ecosystems.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6352611c819090d062fe3079cd03 completed April 14, 2026, 3:54 p.m.
Created at: April 10, 2026, 1:09 a.m.