Triple

T13865187
Position Surface form Disambiguated ID Type / Status
Subject Turkestan E333302 entity
Predicate contains P35 FINISHED
Object Karakum Desert E44776 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: Karakum Desert | Statement: [Turkestan, contains, Karakum Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakum Desert
Context triple: [Turkestan, contains, Karakum Desert]
  • A. Karakum Desert chosen
    The Karakum Desert is a vast arid region covering much of Turkmenistan, known for its extreme climate, sparse population, and significant oil and natural gas reserves.
  • B. Kharan Desert
    The Kharan Desert is a vast, sparsely populated desert region in southwestern Pakistan known for its arid landscape, extreme temperatures, and use as a former nuclear testing site.
  • C. Aralkum Desert
    The Aralkum Desert is a man-made desert that formed on the former seabed of the rapidly shrinking Aral Sea in Central Asia.
  • D. Registan Desert
    The Registan Desert is an arid, sparsely populated sand and gravel desert in southern Afghanistan known for its harsh environment and shifting dunes.
  • E. Kyzylkum Desert
    The Kyzylkum Desert is a vast arid region of sandy plains and dunes located between the Amu Darya and Syr Darya rivers in Central Asia, primarily within Uzbekistan, Kazakhstan, and Turkmenistan.
  • 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_69d81c5ced9c8190b0e9bcc6effe5959 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de05c30d9c81908217d41a3b4aaf85 completed April 14, 2026, 9:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69fbac824a60819090894504dbb41de9 completed May 6, 2026, 9:02 p.m.
Created at: April 9, 2026, 10:14 p.m.