Triple

T8627430
Position Surface form Disambiguated ID Type / Status
Subject Yuxi E204312 entity
Predicate hasCounty P285 FINISHED
Object Yimen County
Yimen County is an administrative county in central Yunnan Province, China, governed by the prefecture-level city of Yuxi.
E768865 NE FINISHED

How this triple was built (4 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: Yimen County | Statement: [Yuxi, hasCounty, Yimen County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yimen County
Context triple: [Yuxi, hasCounty, Yimen County]
  • A. Yilong County
    Yilong County is a county in northeastern Sichuan Province, China, historically notable as the birthplace of prominent Communist military leader Zhu De.
  • B. Yuechi County
    Yuechi County is a county-level administrative region in eastern Sichuan Province, China, governed by the prefecture-level city of Guang’an.
  • C. Weiyuan County
    Weiyuan County is an administrative region in Gansu Province, China, known for its mountainous terrain and as the headwaters area of the Wei River.
  • D. Yanggu County
    Yanggu County is an administrative county under the jurisdiction of Liaocheng in Shandong Province, eastern China.
  • E. Yutian County
    Yutian County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Yimen County
Triple: [Yuxi, hasCounty, Yimen County]
Generated description
Yimen County is an administrative county in central Yunnan Province, China, governed by the prefecture-level city of Yuxi.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yimen County
Target entity description: Yimen County is an administrative county in central Yunnan Province, China, governed by the prefecture-level city of Yuxi.
  • A. Yilong County
    Yilong County is a county in northeastern Sichuan Province, China, historically notable as the birthplace of prominent Communist military leader Zhu De.
  • B. Yuechi County
    Yuechi County is a county-level administrative region in eastern Sichuan Province, China, governed by the prefecture-level city of Guang’an.
  • C. Weiyuan County
    Weiyuan County is an administrative region in Gansu Province, China, known for its mountainous terrain and as the headwaters area of the Wei River.
  • D. Yanggu County
    Yanggu County is an administrative county under the jurisdiction of Liaocheng in Shandong Province, eastern China.
  • E. Yutian County
    Yutian County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northern China.
  • F. None of above. chosen

Provenance (5 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472ccc0c81908e0708c94a7cbe65 completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cfc91d31d48190bfd8a8254f6f518e completed April 3, 2026, 2:05 p.m.
NEDg Description generation batch_69cfca00ffa08190ad66fb99572a6275 completed April 3, 2026, 2:09 p.m.
NED2 Entity disambiguation (via description) batch_69cfca84937881909707497d733218e5 completed April 3, 2026, 2:11 p.m.
Created at: March 30, 2026, 6:27 p.m.