Triple

T10815850
Position Surface form Disambiguated ID Type / Status
Subject Pamir Highway E255224 entity
Predicate passesNear P416 FINISHED
Object Karakul Lake E887605 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: Karakul Lake | Statement: [Pamir Highway, passesNear, Karakul Lake]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakul Lake
Context triple: [Pamir Highway, passesNear, Karakul Lake]
  • A. Karakul Lake chosen
    Karakul Lake is a high-altitude glacial lake in China’s Xinjiang region, famed for its striking turquoise waters set against snow-capped Pamir Mountains.
  • B. Ayding Lake
    Ayding Lake is a hypersaline, often seasonally dry lake in China’s Turpan Depression, notable as one of the lowest points on Earth’s land surface.
  • C. Sarygamysh Lake
    Sarygamysh Lake is a large, mostly endorheic lake in the arid lowlands of Central Asia, lying between Turkmenistan and Uzbekistan and fed primarily by drainage from the Amu Darya River.
  • D. Ebinur Lake
    Ebinur Lake is a saline endorheic lake in northwest China known for its fluctuating water levels, high salinity, and importance as a habitat for migratory birds.
  • E. Lulusar Lake
    Lulusar Lake is a scenic high-altitude lake in Pakistan’s Kaghan Valley, renowned for its clear waters and surrounding mountain landscapes.
  • 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_69d6aa8081448190a9324184f2bd1c26 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d733edab248190b2cf7f7bc2684468 completed April 9, 2026, 5:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69deb0f9e3a081908163b398d845deeb completed April 14, 2026, 9:26 p.m.
Created at: April 8, 2026, 9:18 p.m.