Triple
T11672754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sengcan |
E277419
|
entity |
| Predicate | disciple |
P38326
|
FINISHED |
| Object | Daoxin |
E277420
|
NE FINISHED |
How this triple was built (2 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: Daoxin | Statement: [Sengcan, disciple, Daoxin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Daoxin Context triple: [Sengcan, disciple, Daoxin]
-
A.
Daoxin
chosen
Daoxin was an influential early Chinese Chan (Zen) Buddhist master traditionally regarded as the Fourth Patriarch, known for helping shape the school’s meditative and doctrinal foundations.
-
B.
Xiande
Xiande was the reign era name used by the Later Zhou dynasty during a period of political consolidation in mid-10th century China.
-
C.
Zhushikou
Zhushikou is a subway station on the Beijing Subway system serving the central area near Beijing’s historic old city.
-
D.
Wafangdian
Wafangdian is a county-level city in Liaoning Province, China, known for its bearing industry and as an important satellite city of Dalian.
-
E.
Lingang
Lingang is a rapidly developing industrial and high-tech district in Shanghai, China, known for hosting major manufacturing facilities such as Tesla’s Gigafactory Shanghai.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69f0192f790c8190a99d512b6f5c15aa |
completed | April 28, 2026, 2:19 a.m. |
Created at: April 8, 2026, 9:40 p.m.