Triple

T707328
Position Surface form Disambiguated ID Type / Status
Subject Kyrgyzstan E14128 entity
Predicate majorLake P1025 FINISHED
Object Issyk-Kul E45080 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: Issyk-Kul | Statement: [Kyrgyzstan, majorLake, Issyk-Kul]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Issyk-Kul
Context triple: [Kyrgyzstan, majorLake, Issyk-Kul]
  • A. Issyk-Kul chosen
    Issyk-Kul is a large, deep, and saline mountain lake in eastern Kyrgyzstan, renowned as one of the world’s largest high-altitude lakes and a major natural landmark of Central Asia.
  • B. Lake Velence
    Lake Velence is one of Hungary’s largest natural lakes, known as a popular resort and recreation area in the Transdanubian region.
  • C. Lake Sevan
    Lake Sevan is a large high-altitude freshwater lake in eastern Armenia, renowned as one of the country’s most important natural and cultural landmarks.
  • D. Amu Darya
    The Amu Darya is one of Central Asia’s largest and most historically significant rivers, flowing from the Pamir and Hindu Kush mountains toward the Aral Sea.
  • E. Lake Baikal
    Lake Baikal is a massive rift lake in Siberia renowned as the world's deepest and oldest freshwater lake, containing about one-fifth of the planet's unfrozen surface fresh water.
  • 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_69a493494ec48190ae6751683625a9ba completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a5477bb48190a2032edc83a24720 completed March 1, 2026, 8:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66d9140148190a439ac7a03ee88b2 completed March 3, 2026, 5:11 a.m.
Created at: March 1, 2026, 7:36 p.m.