Triple

T14813343
Position Surface form Disambiguated ID Type / Status
Subject Zhanjiang E348242 entity
Predicate hasCounty P285 FINISHED
Object Wuchuan
Wuchuan is a county-level city administered by Zhanjiang in Guangdong Province, southern China.
E1120452 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: Wuchuan | Statement: [Zhanjiang, hasCounty, Wuchuan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wuchuan
Context triple: [Zhanjiang, hasCounty, Wuchuan]
  • A. Shíyàn
    Shíyàn is the Hanyu Pinyin romanization of the Chinese city name Shiyan, located in Hubei Province, China.
  • B. Longchuan
    Longchuan is a county-level administrative area in southwestern China's Yunnan province, known for its ethnic diversity and location near the Myanmar border.
  • C. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • D. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • E. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • 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: Wuchuan
Triple: [Zhanjiang, hasCounty, Wuchuan]
Generated description
Wuchuan is a county-level city administered by Zhanjiang in Guangdong Province, southern China.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Wuchuan
Target entity description: Wuchuan is a county-level city administered by Zhanjiang in Guangdong Province, southern China.
  • A. Shíyàn
    Shíyàn is the Hanyu Pinyin romanization of the Chinese city name Shiyan, located in Hubei Province, China.
  • B. Longchuan
    Longchuan is a county-level administrative area in southwestern China's Yunnan province, known for its ethnic diversity and location near the Myanmar border.
  • C. Mengjiang
    Mengjiang was a Japanese puppet state established in Inner Mongolia during the Second Sino-Japanese War and World War II.
  • D. Kansu
    Kansu is a Turkish surname most notably associated with Şevket Aziz Kansu, a prominent Turkish academic and anthropologist.
  • E. Shicheng
    Shicheng is a Chinese given name notably borne by the late Qing dynasty general Nie Shicheng.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decf374f288190aa918b1b6b507420 completed April 14, 2026, 11:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24cca0b88190b20a6c7dd77b8146 completed May 8, 2026, 6 p.m.
NEDg Description generation batch_69fe291c69fc8190b29d6d2ca89ce6ec completed May 8, 2026, 6:19 p.m.
NED2 Entity disambiguation (via description) batch_69fe29a093d0819092ae65dc66a3c190 completed May 8, 2026, 6:21 p.m.
Created at: April 10, 2026, 1:48 a.m.