Triple
T16484329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EPR |
E400398
|
entity |
| Predicate | constructionSite |
P6549
|
FINISHED |
| Object |
Taishan 2, China
Taishan 2 in China is a nuclear power reactor unit that uses the EPR (European Pressurized Reactor) design as part of the Taishan Nuclear Power Plant.
|
E1218974
|
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: Taishan 2, China | Statement: [EPR, constructionSite, Taishan 2, China]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taishan 2, China Context triple: [EPR, constructionSite, Taishan 2, China]
-
A.
Tsinan
Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
-
B.
Tianhe
Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
-
C.
Tianhe
Tianhe is the core module of China’s Tiangong space station, serving as its main control, living, and docking hub in low Earth orbit.
-
D.
Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
-
E.
Tianhui
Tianhui was a Chinese imperial era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty in the early 12th 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: Taishan 2, China Triple: [EPR, constructionSite, Taishan 2, China]
Generated description
Taishan 2 in China is a nuclear power reactor unit that uses the EPR (European Pressurized Reactor) design as part of the Taishan Nuclear Power Plant.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Taishan 2, China Target entity description: Taishan 2 in China is a nuclear power reactor unit that uses the EPR (European Pressurized Reactor) design as part of the Taishan Nuclear Power Plant.
-
A.
Tsinan
Tsinan is an older romanized name for Jinan, the capital city of Shandong Province in eastern China known for its numerous natural springs.
-
B.
Tianhe
Tianhe is a town in Wuhan, Hubei Province, China, best known for hosting Wuhan Tianhe International Airport, a major air transport hub in central China.
-
C.
Tianhe
Tianhe is the core module of China’s Tiangong space station, serving as its main control, living, and docking hub in low Earth orbit.
-
D.
Tsien
Tsien is a Chinese surname borne by several notable figures in science and engineering, including biophysicist Richard Tsien.
-
E.
Tianhui
Tianhui was a Chinese imperial era name used during the reign of Emperor Taizong of the Jurchen-led Jin dynasty in the early 12th 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32e05bf448190947b9da15fd29d0a |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00607aafa48190929250a879c602ca |
completed | May 10, 2026, 10:39 a.m. |
| NEDg | Description generation | batch_6a00647bbff88190a91aeafe82762017 |
completed | May 10, 2026, 10:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0064cfef788190bde80077205dfa6d |
completed | May 10, 2026, 10:58 a.m. |
Created at: April 10, 2026, 5:13 a.m.