Triple
T11672944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shitou Xiqian |
E277423
|
entity |
| Predicate | influenced |
P9
|
FINISHED |
| Object | Dongshan Liangjie |
E277426
|
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: Dongshan Liangjie | Statement: [Shitou Xiqian, influenced, Dongshan Liangjie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dongshan Liangjie Context triple: [Shitou Xiqian, influenced, Dongshan Liangjie]
-
A.
Dongshan Liangjie
chosen
Dongshan Liangjie was a 9th-century Chinese Chan master regarded as the founder of the Caodong (Sōtō) school of Zen Buddhism.
-
B.
Zhujiajiao
Zhujiajiao is an ancient water town on the outskirts of Shanghai, famed for its historic canals, stone bridges, and traditional architecture.
-
C.
Shui Xian
Shui Xian is a famous Chinese oolong tea, known for its rich, floral, and roasted notes, traditionally produced in the Wuyi Mountains of Fujian.
-
D.
Zhongshan Ling
Zhongshan Ling is a grand mausoleum complex in Nanjing, China, built to honor Sun Yat-sen, the founding father of modern China.
-
E.
Ko Lao Liang
Ko Lao Liang is a small, scenic Thai island known for its limestone cliffs, clear waters, and tranquil beaches popular with climbers and nature lovers.
- 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_69ef13e1b3d8819085ea806280ed69d3 |
completed | April 27, 2026, 7:44 a.m. |
Created at: April 8, 2026, 9:40 p.m.