Triple

T19593458
Position Surface form Disambiguated ID Type / Status
Subject Weiyuan County E470292 entity
Predicate subdivisionName2 P766 FINISHED
Object Dingxi 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: Dingxi | Statement: [Weiyuan County, subdivisionName2, Dingxi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dingxi
Context triple: [Weiyuan County, subdivisionName2, Dingxi]
  • A. Dingxi City chosen
    Dingxi City is a prefecture-level city in central Gansu Province, China, known for its agriculture-based economy and location on the Loess Plateau.
  • B. Tianshui
    Tianshui is a historic city in eastern Gansu Province, China, known as an important stop on the ancient Silk Road and for its nearby Maijishan Grottoes.
  • C. Longnan City
    Longnan City is a prefecture-level city in southern Gansu Province, China, known for its mountainous terrain, river valleys, and position as a gateway between northwest and southwest China.
  • D. Longxi
    Longxi is a historic region in what is now Gansu Province, China, long known as a strategic frontier area and administrative commandery in imperial times.
  • E. Zhongwei
    Zhongwei is a prefecture-level city in central China known for its desert landscapes, tourism along the Yellow River, and location within the Ningxia Hui Autonomous Region.
  • 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_69d8e510024481908415c0d616fa6186 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640782e2c8190b5baef07a2bdd015 completed April 20, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:43 p.m.