Triple

T2431883
Position Surface form Disambiguated ID Type / Status
Subject Kohistan ranges E52864 entity
Predicate drainedBy P165 FINISHED
Object Keyal River E446054 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: Keyal River | Statement: [Kohistan ranges, drainedBy, Keyal River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Keyal River
Context triple: [Kohistan ranges, drainedBy, Keyal River]
  • A. Nyari River
    The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
  • B. Kandia River chosen
    The Kandia River is a mountain river in northern Pakistan that flows through the remote Kandia Valley in the Kohistan region before joining the Indus River.
  • C. Situk River
    The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
  • D. Leona River
    The Leona River is a tributary in south-central Texas that flows through several counties, including Uvalde County, before joining the Frio River.
  • E. Yeso River
    The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
  • 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_69ab4959bcc0819083246f9fb10439e3 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc9c915e881908d97ae4ccc83ab53 completed March 7, 2026, 6:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69be393b31e081908b585a88a35d4c39 completed March 21, 2026, 6:22 a.m.
Created at: March 6, 2026, 9:43 p.m.