Triple
T14978337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Changde Taohuayuan Airport |
E373510
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Taohuayuan
Taohuayuan is a famous scenic area and cultural site in Changde, Hunan, inspired by the classic Chinese utopian tale "Peach Blossom Spring."
|
E1130259
|
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: Taohuayuan | Statement: [Changde Taohuayuan Airport, namedAfter, Taohuayuan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taohuayuan Context triple: [Changde Taohuayuan Airport, namedAfter, Taohuayuan]
-
A.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
B.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
C.
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
D.
Zhushikou
Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
-
E.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
- 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: Taohuayuan Triple: [Changde Taohuayuan Airport, namedAfter, Taohuayuan]
Generated description
Taohuayuan is a famous scenic area and cultural site in Changde, Hunan, inspired by the classic Chinese utopian tale "Peach Blossom Spring."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taohuayuan Target entity description: Taohuayuan is a famous scenic area and cultural site in Changde, Hunan, inspired by the classic Chinese utopian tale "Peach Blossom Spring."
-
A.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang dynasty.
-
B.
Xiluoyuan
Xiluoyuan is a residential neighborhood and subdistrict located in Beijing’s Fengtai District.
-
C.
Da Yuan
Da Yuan is the official Chinese name for the Yuan dynasty, the Mongol-ruled imperial dynasty that governed China from the late 13th to the mid-14th century.
-
D.
Zhushikou
Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
-
E.
Xingyuan
Xingyuan was the Chinese era name used during part of Emperor Dezong of Tang’s reign in the late eighth century.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6fbd138819092254ea37388026c |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8beca6d88190a0c1adb18c9f2ac4 |
completed | May 9, 2026, 1:20 a.m. |
| NEDg | Description generation | batch_69fe8f94018881908d8185d692f9728a |
completed | May 9, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe8fff27e881908163a1339019e192 |
completed | May 9, 2026, 1:38 a.m. |
Created at: April 10, 2026, 2:51 a.m.