Triple
T13666066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hanging Temple of Hengshan |
E327122
|
entity |
| Predicate | hasChineseName |
P4878
|
FINISHED |
| Object | 悬空寺 |
E327122
|
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: 悬空寺 | Statement: [Hanging Temple of Hengshan, hasChineseName, 悬空寺]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 悬空寺 Context triple: [Hanging Temple of Hengshan, hasChineseName, 悬空寺]
-
A.
武当山
武当山是位于中国湖北省的著名道教名山和世界文化遗产，以其古建筑群和武当武术而闻名。
-
B.
白马寺
白马寺是位于中国河南省洛阳市、被誉为中国第一古刹的著名佛教寺院。
-
C.
法门寺
法门寺 is a famous Buddhist temple in Fufeng County, Shaanxi, China, renowned as a historic pilgrimage site that houses revered relics of the Buddha.
-
D.
Hanging Temple of Hengshan
chosen
The Hanging Temple of Hengshan is an ancient cliffside monastery in China renowned for its wooden structures dramatically built into a sheer rock face and dedicated to a blend of Buddhist, Taoist, and Confucian traditions.
-
E.
排云殿
排云殿是位于北京颐和园内的一组重要宫殿式建筑群，曾为清代皇室举行庆典和宴会的主要场所之一。
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc623fcc88190bbad97541c040b7a |
completed | April 12, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b0cfe0c8190b0fe50931e9788cf |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:52 p.m.