Triple
T8725010
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honghe |
E207108
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kaiyuan
Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
|
E753011
|
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: Kaiyuan | Statement: [Honghe, contains, Kaiyuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kaiyuan Context triple: [Honghe, contains, Kaiyuan]
-
A.
Kaiyuan era
The Kaiyuan era was a prosperous and culturally flourishing period during the reign of Emperor Xuanzong in the High Tang dynasty of China.
-
B.
Kaihuang
Kaihuang was the inaugural era name of Emperor Wen of the Sui dynasty, marking a period of political consolidation and major reforms in early imperial China.
-
C.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
D.
Yongyuan
Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
-
E.
Daizong
Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
- 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: Kaiyuan Triple: [Honghe, contains, Kaiyuan]
Generated description
Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kaiyuan Target entity description: Kaiyuan is a county-level city in Honghe Hani and Yi Autonomous Prefecture in Yunnan Province, southwestern China.
-
A.
Kaiyuan era
The Kaiyuan era was a prosperous and culturally flourishing period during the reign of Emperor Xuanzong in the High Tang dynasty of China.
-
B.
Kaihuang
Kaihuang was the inaugural era name of Emperor Wen of the Sui dynasty, marking a period of political consolidation and major reforms in early imperial China.
-
C.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
D.
Yongyuan
Yongyuan was the era name used during part of Emperor Zhang's rule in the Eastern Han dynasty of ancient China.
-
E.
Daizong
Daizong is the posthumous temple name of the Ming dynasty's Jingtai Emperor, used in ancestral rites and historical records.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1404948190bc45d14a1ddb1a7e |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf2908fec08190a286a082060a47bc |
completed | April 3, 2026, 2:42 a.m. |
| NEDg | Description generation | batch_69cf2bd32cc881909ac8a61befa9929e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c69f83481909423858668d03a8b |
completed | April 3, 2026, 2:56 a.m. |
Created at: March 30, 2026, 6:36 p.m.