Triple

T2960355
Position Surface form Disambiguated ID Type / Status
Subject Balkanabat E80031 entity
Predicate locatedInDesert P40 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: [Balkanabat, locatedInDesert, Karakum Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karakum Desert
Context triple: [Balkanabat, locatedInDesert, 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. 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.
  • E. Taklamakan Desert
    The Taklamakan Desert is a vast, arid sand desert in China’s Xinjiang region, known for its extreme dryness, shifting dunes, and historical role along the Silk Road.
  • 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_69ad8b1341848190bd19dbf46892887d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992dd4248190b5f3d4f342593b8c completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b276cc19b48190a952015c9e501dd6 completed March 12, 2026, 8:18 a.m.
Created at: March 8, 2026, 2:57 p.m.