Triple
T28838324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quán Âm |
E728244
|
entity |
| Predicate | cultSpreadFrom |
P145758
|
FINISHED |
| Object | China |
—
|
NE NERFINISHED |
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: China | Statement: [Quán Âm, cultSpreadFrom, China]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cultSpreadFrom Context triple: [Quán Âm, cultSpreadFrom, China]
-
A.
cultSpreadIn
chosen
Indicates that a cult or religious movement has spread into or become established within a particular location or region.
-
B.
epidemicSpreadFrom
Indicates that an epidemic originates in one location or population and then spreads to another location or population.
-
C.
spreadingStatus
Indicates the current state or progression of how something is spreading or being disseminated (e.g., whether and how it is expanding, stable, or declining).
-
D.
transmissionBetweenHumans
Indicates that something (such as a disease, information, or influence) is passed directly from one human to another.
-
E.
contagiousness
Indicates how readily a disease or condition can be transmitted from one individual to another.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6596fae5c81908eb8abb59acf3471 |
completed | May 2, 2026, 8:07 p.m. |
| PD | Predicate disambiguation | batch_69f65762b5e481908a30ca963dcba4be |
completed | May 2, 2026, 7:58 p.m. |
Created at: April 28, 2026, 6:40 a.m.