Triple
T6329811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Small Wild Goose Pagoda |
E141950
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Xiaoyan Ta
Xiaoyan Ta is a historic Buddhist pagoda in Xi'an, China, renowned for its Tang dynasty architecture and cultural significance.
|
E586769
|
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: Xiaoyan Ta | Statement: [Small Wild Goose Pagoda, alsoKnownAs, Xiaoyan Ta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xiaoyan Ta Context triple: [Small Wild Goose Pagoda, alsoKnownAs, Xiaoyan Ta]
-
A.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
B.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
C.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
D.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
E.
Ma Xiaotian
Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
- 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: Xiaoyan Ta Triple: [Small Wild Goose Pagoda, alsoKnownAs, Xiaoyan Ta]
Generated description
Xiaoyan Ta is a historic Buddhist pagoda in Xi'an, China, renowned for its Tang dynasty architecture and cultural significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Xiaoyan Ta Target entity description: Xiaoyan Ta is a historic Buddhist pagoda in Xi'an, China, renowned for its Tang dynasty architecture and cultural significance.
-
A.
Younan Xia
Younan Xia is a prominent chemist and materials scientist known for his pioneering work in nanomaterials synthesis and nanotechnology.
-
B.
Xiaobo
Xiaobo is the given name of Liu Xiaobo, the Chinese literary critic, human rights activist, and Nobel Peace Prize laureate.
-
C.
Xue Yue
Xue Yue was a prominent Nationalist Chinese general renowned for his leadership in key battles against Japanese forces during the Second Sino-Japanese War.
-
D.
Jun Xia
Jun Xia is a Chinese architect best known for serving as the lead designer of Shanghai Tower, one of the world’s tallest skyscrapers.
-
E.
Ma Xiaotian
Ma Xiaotian is a Chinese air force general who served as Commander of the People's Liberation Army Air Force.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
| NEDg | Description generation | batch_69c605be33b081908a88b14ffc9b7e45 |
completed | March 27, 2026, 4:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6063391c08190be94743c4c326805 |
completed | March 27, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4:30 p.m.