Triple

T6554786
Position Surface form Disambiguated ID Type / Status
Subject Vakhsh River E152418 entity
Predicate historicalName P65 FINISHED
Object Kyzyl-Suu E604715 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: Kyzyl-Suu | Statement: [Vakhsh River, historicalName, Kyzyl-Suu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyzyl-Suu
Context triple: [Vakhsh River, historicalName, Kyzyl-Suu]
  • A. Kyzyl-Suu
    Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
  • B. Saryk
    The Saryk are a historically significant Turkmen tribe known for their distinct cultural traditions and contributions to the ethnogenesis of the Turkmen people in Central Asia.
  • C. Kyzyl-Suu River chosen
    The Kyzyl-Suu River is a Central Asian mountain river that serves as one of the principal headwaters of the Vakhsh River.
  • D. Sary-Tash
    Sary-Tash is a remote village in southern Kyrgyzstan that serves as a key crossroads on routes linking Kyrgyzstan with China and Tajikistan through the Pamir and Alay mountain ranges.
  • E. Терек
    Терек — крупная река на Северном Кавказе, протекающая через Россию и Грузию и впадающая в Каспийское море.
  • 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_69c688058d6881908c19b309cc55dbfa completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae1c07cc819089c297edad943a57 completed March 27, 2026, 4:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6e4234c148190b19d36903cb67651 completed March 27, 2026, 8:10 p.m.
Created at: March 27, 2026, 1:51 p.m.