Triple

T17204620
Position Surface form Disambiguated ID Type / Status
Subject Yarkand Khanate E417567 entity
Predicate contains P35 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: [Yarkand Khanate, contains, Aksu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aksu
Context triple: [Yarkand Khanate, contains, 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 an industrial city in northeastern Kazakhstan known for its power plant and metallurgical facilities.
  • C. 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.
  • D. 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.
  • E. Aksu River
    The Aksu River is a significant river in southeastern Kazakhstan that flows through the Almaty Region, contributing to the area's hydrology and local ecosystems.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42db1e01c81909db0491fd9f49bed completed April 19, 2026, 1:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01793aec4c81908e64226986866389 completed May 11, 2026, 6:37 a.m.
Created at: April 10, 2026, 5:38 a.m.