Triple

T21194908
Position Surface form Disambiguated ID Type / Status
Subject Tumshuq E522301 entity
Predicate near 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: [Tumshuq, near, Aksu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aksu
Context triple: [Tumshuq, near, 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
    Aksu is an industrial city in northeastern Kazakhstan known for its power plant and metallurgical facilities.
  • D. Aksu River valley
    The Aksu River valley is a significant river valley in southeastern Kazakhstan known for its rugged landscapes, canyons, and role in the region’s natural and agricultural systems.
  • E. 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.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333aa0fc81909b17eb6a26f389ec completed April 21, 2026, 8:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a097ec8db108190b2decdfe28a8af08 completed May 17, 2026, 8:39 a.m.
Created at: April 16, 2026, 3:08 p.m.