Triple
T19872427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 洛河 |
E477550
|
entity |
| Predicate | 在神话中的地位 |
P9987
|
FINISHED |
| Object | 中国古代神话中的神圣之河 |
—
|
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: 中国古代神话中的神圣之河 | Statement: [洛河, 在神话中的地位, 中国古代神话中的神圣之河]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在神话中的地位 Context triple: [洛河, 在神话中的地位, 中国古代神话中的神圣之河]
-
A.
mythologicalRole
chosen
Indicates the specific function, duty, or status an entity holds within a mythological or legendary context.
-
B.
isMythologicalFigureType
Indicates that one entity is classified as a specific type or category of mythological figure in relation to another entity.
-
C.
mythologicalFigureFeatured
Indicates that a mythological figure is prominently depicted, referenced, or plays a significant role within a given work, context, or medium.
-
D.
mythologicalCategory
Indicates that one entity is classified as belonging to the mythological type, group, or category represented by the other entity.
-
E.
hasMythologicalFeature
Indicates that an entity possesses a characteristic, attribute, or element derived from mythology or mythological beings.
- 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_69d8e51e7d948190aedbcd6c30361c39 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e658d826f88190be04188997952d1b |
completed | April 20, 2026, 4:48 p.m. |
| PD | Predicate disambiguation | batch_69e537e8c4e481909fe95d795b4864e7 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:51 p.m.