Triple
T30155511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 黄鹤楼 |
E766508
|
entity |
| Predicate | 在中国文化中的地位 |
P1579
|
FINISHED |
| Object | 历代文人题咏胜地 |
—
|
LITERAL 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: 历代文人题咏胜地 | Statement: [黄鹤楼, 在中国文化中的地位, 历代文人题咏胜地]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在中国文化中的地位 Context triple: [黄鹤楼, 在中国文化中的地位, 历代文人题咏胜地]
-
A.
ChinaRole
Indicates that an entity has a specific role, function, or position in relation to China.
-
B.
ethnicStatusInChina
Indicates the ethnic classification or status that an entity holds within the sociopolitical context of China.
-
C.
isCulturalSignificance
Indicates that something holds notable meaning, value, or influence within a particular culture or cultural context.
-
D.
countryOfCulturalSignificance
Indicates that a country holds notable cultural importance or influence for a given entity, such as a person, group, object, or practice.
-
E.
hasCulturalSignificance
chosen
Indicates that something holds notable meaning, value, or importance within a particular culture or cultural context.
- F. None of above.
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_69f22479cd088190ab4c6f3fce39d1c5 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67ed72fb08190955d6bfd90dd3b8e |
completed | May 2, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69f673c7a4588190837854f3ef61e6bf |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 7:20 p.m.