Triple

T23080281
Position Surface form Disambiguated ID Type / Status
Subject Northern Xinjiang railway E575449 entity
Predicate connects P390 FINISHED
Object Kuitun 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: Kuitun | Statement: [Northern Xinjiang railway, connects, Kuitun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuitun
Context triple: [Northern Xinjiang railway, connects, Kuitun]
  • A. Kuitun chosen
    Kuitun is a county-level city in Xinjiang, China, known as an industrial and transportation hub in the Ili Kazakh Autonomous Prefecture.
  • B. Kükita
    Kükita is a small settlement located in Järva County in central Estonia.
  • C. Tutunaku
    Tutunaku is the self-designation of the Totonac people, an Indigenous group of eastern Mexico known for their distinct language and rich pre-Columbian cultural heritage.
  • D. Kuisak
    Kuisak is an archaeological site associated with the Bronze Age Sintashta culture, known for its fortified settlements and early chariot burials on the Eurasian steppe.
  • E. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • 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_69e245be28d48190ad1348d5a73db37d completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18c66a80481909ebc2ba69f1e4bd9 completed April 29, 2026, 4:43 a.m.
Created at: April 17, 2026, 3:56 p.m.