Triple

T16061295
Position Surface form Disambiguated ID Type / Status
Subject Guangyang District E389617 entity
Predicate hasRomanizedName P2508 FINISHED
Object Guǎngyáng Qū
Guǎngyáng Qū is the Mandarin pinyin romanization of Guangyang District, an administrative district in Langfang, Hebei Province, China.
E1212703 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: Guǎngyáng Qū | Statement: [Guangyang District, hasRomanizedName, Guǎngyáng Qū]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guǎngyáng Qū
Context triple: [Guangyang District, hasRomanizedName, Guǎngyáng Qū]
  • A. Yuqing County
    Yuqing County is an administrative county in Guizhou Province, China, governed by the prefecture-level city of Zunyi.
  • B. Yanggu County
    Yanggu County is an administrative county under the jurisdiction of Liaocheng in Shandong Province, eastern China.
  • C. Guidong County
    Guidong County is a county-level administrative region under the jurisdiction of Chenzhou City in Hunan Province, China, known for its mountainous terrain and rural landscapes.
  • D. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • E. Wugu District
    Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
  • 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: Guǎngyáng Qū
Triple: [Guangyang District, hasRomanizedName, Guǎngyáng Qū]
Generated description
Guǎngyáng Qū is the Mandarin pinyin romanization of Guangyang District, an administrative district in Langfang, Hebei Province, China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guǎngyáng Qū
Target entity description: Guǎngyáng Qū is the Mandarin pinyin romanization of Guangyang District, an administrative district in Langfang, Hebei Province, China.
  • A. Yuqing County
    Yuqing County is an administrative county in Guizhou Province, China, governed by the prefecture-level city of Zunyi.
  • B. Yanggu County
    Yanggu County is an administrative county under the jurisdiction of Liaocheng in Shandong Province, eastern China.
  • C. Guidong County
    Guidong County is a county-level administrative region under the jurisdiction of Chenzhou City in Hunan Province, China, known for its mountainous terrain and rural landscapes.
  • D. Yingshang County
    Yingshang County is an administrative county in Anhui Province, China, governed by the prefecture-level city of Fuyang.
  • E. Wugu District
    Wugu District is an urban district of New Taipei City in northern Taiwan, known for its industrial areas and proximity to Taipei.
  • 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_69d86dae698881908327ef2d67706cb9 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e183795100819097be92e6d07dc5b1 completed April 17, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00456d5e74819080c838468ec015ef completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a0046dd6f988190a36e6660ff7dfa19 completed May 10, 2026, 8:50 a.m.
NED2 Entity disambiguation (via description) batch_6a00474080b0819084aa13a4b30fa1dd completed May 10, 2026, 8:52 a.m.
Created at: April 10, 2026, 4:57 a.m.