Triple

T13818539
Position Surface form Disambiguated ID Type / Status
Subject Kopet Dag E332078 entity
Predicate nearCity P350 FINISHED
Object Quchan E338360 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: Quchan | Statement: [Kopet Dag, nearCity, Quchan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Quchan
Context triple: [Kopet Dag, nearCity, Quchan]
  • A. Quchan chosen
    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.
  • B. Hotan
    Hotan is an oasis city in southwestern Xinjiang, China, historically known as a key Silk Road hub famed for its jade, silk, and carpets.
  • C. Yarkand
    Yarkand is an ancient oasis town and historical region in southwestern Xinjiang, China, that served as a key hub on the Silk Road.
  • D. Turfan region
    The Turfan region is an oasis area in present-day Xinjiang, China, historically significant as a Silk Road crossroads and rich archaeological site of ancient Buddhist, Manichaean, and Nestorian cultures.
  • E. Aksu Prefecture
    Aksu Prefecture is an administrative region in Xinjiang, China, known for its oasis cities along the northern edge of the Taklamakan Desert and its role as a historical hub on 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0281bb988190803ee195f430b9c8 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b8e1fbec8190bab64357f8c5438f completed May 3, 2026, 9:06 p.m.
Created at: April 9, 2026, 10:12 p.m.