Triple

T7579164
Position Surface form Disambiguated ID Type / Status
Subject Albert von Le Coq E179440 entity
Predicate placeOfActivity P1527 FINISHED
Object Turfan E132166 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: Turfan | Statement: [Albert von Le Coq, placeOfActivity, Turfan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Turfan
Context triple: [Albert von Le Coq, placeOfActivity, Turfan]
  • A. Turpan chosen
    Turpan is an oasis city and depression in China’s Xinjiang region, historically a key Silk Road hub known for its extreme heat, ancient irrigation systems, and grape cultivation.
  • B. 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.
  • C. 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.
  • D. Korla
    Korla is a major oasis city in Xinjiang, China, known as an important transportation and economic hub along the northern edge of the Taklamakan Desert.
  • E. Yarkand
    Yarkand is an ancient oasis town and historical region in southwestern Xinjiang, China, that served as a key 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97460a481909d61fba555567b66 completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8616d87f881909fe23220dc77167c completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.