Triple

T21138498
Position Surface form Disambiguated ID Type / Status
Subject Sarvastivada school E520871 entity
Predicate regionOfSpread P100363 FINISHED
Object Kucha NE NERFINISHED

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: Kucha | Statement: [Sarvastivada school, regionOfSpread, Kucha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kucha
Context triple: [Sarvastivada school, regionOfSpread, Kucha]
  • A. Kucha chosen
    Kucha was an ancient Buddhist oasis city-state on the northern Silk Road in what is now Xinjiang, China, known for its rich cultural and artistic heritage.
  • B. Kashgaria
    Kashgaria is a historical region in what is now Xinjiang, China, centered on the oasis cities of the Tarim Basin and long contested by various Central Asian powers.
  • C. Tokhi
    Tokhi is a prominent Pashtun tribe that forms part of the larger Ghilji tribal confederation in Afghanistan.
  • D. Kharan
    Kharan is a town in Balochistan, Pakistan, serving as the administrative center of Kharan District.
  • E. Qūchān
    Qūchān is a city in northeastern Iran, located in Razavi Khorasan Province near the border with Turkmenistan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b50b53048190ae34e8abbe3c5ada completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7235d1c788190a28577a753532b2a completed April 21, 2026, 7:12 a.m.
Created at: April 16, 2026, 2:57 p.m.