Triple
T11989650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huayan |
E285371
|
entity |
| Predicate | hasImportantFigure |
P1183
|
FINISHED |
| Object |
Chengguan
Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
|
E957321
|
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: Chengguan | Statement: [Huayan, hasImportantFigure, Chengguan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chengguan Context triple: [Huayan, hasImportantFigure, Chengguan]
-
A.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
B.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
-
C.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
D.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
E.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang 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: Chengguan Triple: [Huayan, hasImportantFigure, Chengguan]
Generated description
Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chengguan Target entity description: Chengguan was an influential Tang dynasty Buddhist monk and scholar renowned for his authoritative commentaries on Huayan (Avatamsaka) doctrine.
-
A.
Longcheng
Longcheng was the principal royal city and political center of the Xiongnu confederation in ancient Inner Asia.
-
B.
Guandu
Guandu is a district in northern Taipei, Taiwan, known for its riverside wetlands, hot springs, and the historic Guandu Temple.
-
C.
Shancheng
Shancheng is a Chinese nickname meaning "Mountain City," commonly used to refer to the city of Chongqing, known for its steep terrain and hilly urban landscape.
-
D.
Guguan
Guguan is an uninhabited volcanic island in the Northern Mariana Islands chain in the western Pacific Ocean.
-
E.
Shangyuan
Shangyuan was a Chinese imperial era name used during the reign of Emperor Suzong of the Tang 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_69d6ab44a77c8190a652f4b27164e4ef |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903afe4388190a2cf2328e85adf9b |
completed | April 10, 2026, 2:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f47257911481909d6bd72535eefdbd |
completed | May 1, 2026, 9:28 a.m. |
| NEDg | Description generation | batch_69f47cb7f9b4819091e6df4b894359bb |
completed | May 1, 2026, 10:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47e6b8234819087fa1c53406b5f62 |
completed | May 1, 2026, 10:20 a.m. |
Created at: April 8, 2026, 9:46 p.m.