Triple

T5811184
Position Surface form Disambiguated ID Type / Status
Subject Taklamakan Desert E128869 entity
Predicate hasNearbyCity P350 FINISHED
Object Aksu E158489 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: Aksu | Statement: [Taklamakan Desert, hasNearbyCity, Aksu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aksu
Context triple: [Taklamakan Desert, hasNearbyCity, Aksu]
  • A. Aksu chosen
    Aksu is a city in northwestern China’s Xinjiang Uyghur Autonomous Region, known as an important oasis and agricultural center along the historic Silk Road.
  • B. Aksu
    Aksu is a modern town in Antalya Province, Turkey, located near the ancient city of Perge and known for its agricultural production and growing tourism.
  • C. Aksu River
    The Aksu River is a major river in northwestern China and Kyrgyzstan that forms the principal headwater of the Tarim River in the arid Tarim Basin.
  • D. Quchan
    Quchan is a historic city in northeastern Iran known for its strategic location along trade routes and its role as a regional center in the Khorasan area.
  • E. Kyzyl-Suu
    Kyzyl-Suu is a town in eastern Kyrgyzstan that serves as a local center near the southern shore of Lake Issyk-Kul.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c09844f0b881908d4165e550f75d47 completed March 23, 2026, 1:32 a.m.
Created at: March 22, 2026, 3:52 p.m.