Triple
T11673275
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huangbo Xiyun |
E277430
|
entity |
| Predicate | workAttributed |
P17913
|
FINISHED |
| Object |
Wanling lu
Wanling lu is a classic Chan (Zen) Buddhist text traditionally attributed to the Tang dynasty master Huangbo Xiyun, known for its teachings on mind and enlightenment.
|
E940280
|
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: Wanling lu | Statement: [Huangbo Xiyun, workAttributed, Wanling lu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wanling lu Context triple: [Huangbo Xiyun, workAttributed, Wanling lu]
-
A.
Wulian
Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
-
B.
Wulidian
Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
-
C.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
D.
Yangluo
Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
-
E.
Wansin
Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
- 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: Wanling lu Triple: [Huangbo Xiyun, workAttributed, Wanling lu]
Generated description
Wanling lu is a classic Chan (Zen) Buddhist text traditionally attributed to the Tang dynasty master Huangbo Xiyun, known for its teachings on mind and enlightenment.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wanling lu Target entity description: Wanling lu is a classic Chan (Zen) Buddhist text traditionally attributed to the Tang dynasty master Huangbo Xiyun, known for its teachings on mind and enlightenment.
-
A.
Wulian
Wulian is a county-level city in eastern China’s Shandong province, known for its mountainous scenery and location on the Shandong Peninsula.
-
B.
Wulidian
Wulidian is a locality within Beijing’s Fengtai District, known primarily as a residential and commercial urban neighborhood.
-
C.
Leuwiliang
Leuwiliang is a district-level area in West Java, Indonesia, known as part of the greater Bogor region.
-
D.
Yangluo
Yangluo is a town in Wuhan, Hubei Province, China, known as an industrial and port area along the Yangtze River.
-
E.
Wansin
Wansin is a village in the municipality of Hannut in the province of Liège, Belgium.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a443b6848190a1eb6825fbc49d08 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
| NEDg | Description generation | batch_69ef3551b9a88190a9b30bcb2592628b |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51c17078819083f05036f290ce09 |
completed | April 27, 2026, 12:08 p.m. |
Created at: April 8, 2026, 9:40 p.m.