Triple

T4139065
Position Surface form Disambiguated ID Type / Status
Subject Hazara E89227 entity
Predicate hasRiver P165 FINISHED
Object Kunhar River E217905 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: Kunhar River | Statement: [Hazara, hasRiver, Kunhar River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kunhar River
Context triple: [Hazara, hasRiver, Kunhar River]
  • A. Kunhar River chosen
    The Kunhar River is a scenic mountain river in northern Pakistan that flows through the Kaghan Valley before joining the Jhelum River.
  • B. Balikh River
    The Balikh River is a major river in northern Syria that flows through the arid plains of Upper Mesopotamia before joining the Euphrates.
  • C. Khabur River
    The Khabur River is a major river in northeastern Syria that flows through the Jazira region and is historically significant as part of ancient Mesopotamia’s irrigation and settlement network.
  • D. Karchaghbyur River
    The Karchaghbyur River is a watercourse in Armenia that serves as one of the tributary rivers feeding into Lake Sevan.
  • E. Ziya River
    The Ziya River is a major river in northern China that serves as one of the principal tributaries feeding into the Hai River system.
  • 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_69aed95785788190ae75bcf0cd1cafdf completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02485a788190ba6ee769e663b2d3 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69badb16faf88190aa047ba701ff7c0d completed March 18, 2026, 5:04 p.m.
Created at: March 9, 2026, 3:43 p.m.