Triple

T22277588
Position Surface form Disambiguated ID Type / Status
Subject Rewa Plateau E550646 entity
Predicate drainedBy P165 FINISHED
Object Ken 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: Ken River | Statement: [Rewa Plateau, drainedBy, Ken River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken River
Context triple: [Rewa Plateau, drainedBy, Ken River]
  • A. Ken River chosen
    The Ken River is a significant river in central India that flows through the states of Madhya Pradesh and Uttar Pradesh before joining the Yamuna.
  • B. Jonk River
    The Jonk River is a tributary watercourse in central India that flows through parts of Chhattisgarh and Odisha before joining the larger Mahanadi River system.
  • C. Tüp River
    The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
  • D. Vuoksi River
    The Vuoksi River is a major waterway in northwestern Russia and southeastern Finland, known for connecting Lake Saimaa to Lake Ladoga and playing a key historical and economic role in the region.
  • E. Mayo River
    The Mayo River is a significant waterway in Peru that flows through the San Martín Region, supporting local ecosystems, agriculture, and settlements in the northern Amazonian Andes.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14ea8a6688190bcd168670420ec59 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.