Triple
T15394762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tailing Mausoleum |
E368143
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object |
泰陵
泰陵是中国一座历史皇陵建筑群，以其宏伟的陵寝格局和丰富的文化遗存而闻名。
|
E1154905
|
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: 泰陵 | Statement: [Tailing Mausoleum, hasChineseName, 泰陵]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 泰陵 Context triple: [Tailing Mausoleum, hasChineseName, 泰陵]
-
A.
太庙
太庙是北京故宫东侧一座明清皇家宗庙建筑群，现为对公众开放的历史文化景区。
-
B.
Zhenling Mausoleum
Zhenling Mausoleum is the imperial tomb complex in China that serves as the final resting place of Emperor Dezong of the Tang dynasty.
-
C.
Qingling Mausoleum
Qingling Mausoleum is the tomb complex of the Ming dynasty Tianqi Emperor, located near Beijing and noted as one of the imperial mausoleums of the Ming emperors.
-
D.
Yongkangling Mausoleum
Yongkangling Mausoleum is the imperial tomb complex in China where Emperor Gaozong of the Southern Song dynasty was interred.
-
E.
Yongchang Mausoleum
Yongchang Mausoleum is the imperial tomb complex in China that serves as the final resting place of Emperor Taizu, the founding ruler of the Song dynasty.
- 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: 泰陵 Triple: [Tailing Mausoleum, hasChineseName, 泰陵]
Generated description
泰陵是中国一座历史皇陵建筑群，以其宏伟的陵寝格局和丰富的文化遗存而闻名。
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 泰陵 Target entity description: 泰陵是中国一座历史皇陵建筑群，以其宏伟的陵寝格局和丰富的文化遗存而闻名。
-
A.
太庙
太庙是北京故宫东侧一座明清皇家宗庙建筑群，现为对公众开放的历史文化景区。
-
B.
Zhenling Mausoleum
Zhenling Mausoleum is the imperial tomb complex in China that serves as the final resting place of Emperor Dezong of the Tang dynasty.
-
C.
Qingling Mausoleum
Qingling Mausoleum is the tomb complex of the Ming dynasty Tianqi Emperor, located near Beijing and noted as one of the imperial mausoleums of the Ming emperors.
-
D.
Yongkangling Mausoleum
Yongkangling Mausoleum is the imperial tomb complex in China where Emperor Gaozong of the Southern Song dynasty was interred.
-
E.
Yongchang Mausoleum
Yongchang Mausoleum is the imperial tomb complex in China that serves as the final resting place of Emperor Taizu, the founding ruler of the Song dynasty.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e8ac79081908ac79c0b3e7587ff |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff13523f548190beafd130f8741465 |
completed | May 9, 2026, 10:58 a.m. |
| NEDg | Description generation | batch_69ff141b025c8190ac5ac9400ff36133 |
completed | May 9, 2026, 11:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff1519100c819083ee0342bf25d89e |
completed | May 9, 2026, 11:06 a.m. |
Created at: April 10, 2026, 3:19 a.m.