Triple

T3909017
Position Surface form Disambiguated ID Type / Status
Subject Afro-Eurasian desert belt E87276 entity
Predicate contains P35 FINISHED
Object Gobi Desert E16373 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: Gobi Desert | Statement: [Afro-Eurasian desert belt, contains, Gobi Desert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gobi Desert
Context triple: [Afro-Eurasian desert belt, contains, Gobi Desert]
  • A. Gobi Desert chosen
    The Gobi Desert is a vast cold desert region in northern China and southern Mongolia, known for its harsh climate, sparse vegetation, and role as part of the historical Mongol Empire and Silk Road.
  • B. Karakum Desert
    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.
  • C. 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.
  • D. 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.
  • 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_69aed9424514819086e9c58adde6652d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeed14d6d08190b74757eb9288fe4d completed March 9, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69b53fec9fe48190abdaaec26e4c6d1f completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:22 p.m.