Triple

T16305875
Position Surface form Disambiguated ID Type / Status
Subject Nagqu Prefecture-level City E395907 entity
Predicate contains P35 FINISHED
Object Biru County E1205461 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: Biru County | Statement: [Nagqu Prefecture-level City, contains, Biru County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biru County
Context triple: [Nagqu Prefecture-level City, contains, Biru County]
  • A. Biru County chosen
    Biru County is an administrative county in northern Tibet, China, known for its high-altitude grasslands and traditional Tibetan culture.
  • B. Bahmai County
    Bahmai County is an administrative division in southwestern Iran known for its mountainous terrain and rural communities.
  • C. Lika-Senj County
    Lika-Senj County is a sparsely populated county in central Croatia known for its mountainous landscapes, national parks, and Adriatic coastline.
  • D. Cili County
    Cili County is an administrative county under the jurisdiction of Zhangjiajie City in Hunan Province, China, known for its karst landscapes and proximity to major scenic areas.
  • E. Shache County
    Shache County is a county in southwestern Xinjiang, China, known historically as Yarkand and situated along key oasis routes of the southern 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_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.