Triple

T9767324
Position Surface form Disambiguated ID Type / Status
Subject Hanzhong E237028 entity
Predicate hasCounty P285 FINISHED
Object Yang County
Yang County is an administrative county under the jurisdiction of Hanzhong City in southern Shaanxi Province, China, known for its mountainous terrain and historical sites.
E819930 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: Yang County | Statement: [Hanzhong, hasCounty, Yang County]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yang County
Context triple: [Hanzhong, hasCounty, Yang County]
  • A. Linxi County
    Linxi County is an administrative county under the jurisdiction of Chifeng City in the Inner Mongolia Autonomous Region of northern China.
  • B. Xia County
    Xia County is a historic county in southern Shanxi Province, China, known as the birthplace of the Song-dynasty historian and statesman Sima Guang.
  • C. Wei County
    Wei County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Gan County
    Gan County is an administrative region in Jiangxi Province, China, known as a center of Hakka culture and language.
  • E. Luan County
    Luan County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northeastern 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: Yang County
Triple: [Hanzhong, hasCounty, Yang County]
Generated description
Yang County is an administrative county under the jurisdiction of Hanzhong City in southern Shaanxi Province, China, known for its mountainous terrain and historical sites.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Yang County
Target entity description: Yang County is an administrative county under the jurisdiction of Hanzhong City in southern Shaanxi Province, China, known for its mountainous terrain and historical sites.
  • A. Linxi County
    Linxi County is an administrative county under the jurisdiction of Chifeng City in the Inner Mongolia Autonomous Region of northern China.
  • B. Xia County
    Xia County is a historic county in southern Shanxi Province, China, known as the birthplace of the Song-dynasty historian and statesman Sima Guang.
  • C. Wei County
    Wei County is an administrative county under the jurisdiction of Handan City in Hebei Province, northern China.
  • D. Gan County
    Gan County is an administrative region in Jiangxi Province, China, known as a center of Hakka culture and language.
  • E. Luan County
    Luan County is an administrative county under the jurisdiction of Tangshan City in Hebei Province, northeastern 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_69ca84d831b8819090322686b47887ce completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda0a2da648190836916a45d2998d7 completed April 1, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1bcfffa6081909f61c66357765d8d completed April 5, 2026, 1:38 a.m.
NEDg Description generation batch_69d1bdacce648190a8dfbe5147cc70c6 completed April 5, 2026, 1:41 a.m.
NED2 Entity disambiguation (via description) batch_69d1be74b8cc8190a5961c863f85fa0e completed April 5, 2026, 1:44 a.m.
Created at: March 30, 2026, 8:25 p.m.