Triple

T16305815
Position Surface form Disambiguated ID Type / Status
Subject Nagqu E395906 entity
Predicate contains P35 FINISHED
Object Nagqu Town E1205455 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: Nagqu Town | Statement: [Nagqu, contains, Nagqu Town]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagqu Town
Context triple: [Nagqu, contains, Nagqu Town]
  • A. Nagqu Town chosen
    Nagqu Town is the main urban settlement and administrative hub of Nagqu Prefecture in northern Tibet, China.
  • B. Rangpo
    Rangpo is a small town in the Indian state of Sikkim, known as a key gateway to the region and an important transit and trade point near the Sikkim–West Bengal border.
  • C. Lhuentse
    Lhuentse is a small town in northeastern Bhutan known for its traditional Bhutanese architecture, rich cultural heritage, and production of fine handwoven textiles.
  • D. Phuentsholing
    Phuentsholing is a major Bhutanese border town and commercial hub located on the frontier with India, serving as a key gateway into the country.
  • E. Sakya
    Sakya is one of the four major schools of Tibetan Buddhism, known for its distinctive scholastic tradition and influential role in Tibetan religious and political history.
  • 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_69d87f23bb088190a16fbb91a1957ea5 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e288d5619081909d0f8157cc487877 completed April 17, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260151908190b83f700a1c7c6419 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.