Triple
T15476385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 龍山寺 |
E376790
|
entity |
| Predicate | 兼祀宗教 |
P19097
|
FINISHED |
| Object | 道教 |
—
|
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: 道教 | Statement: [龍山寺, 兼祀宗教, 道教]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 兼祀宗教 Context triple: [龍山寺, 兼祀宗教, 道教]
-
A.
religiousSyncretism
chosen
Indicates a blending or merging of elements from different religious traditions into a combined or hybrid belief or practice.
-
B.
otherReligion
Indicates that one entity follows or is associated with a religion that is different from the religion of another entity.
-
C.
ethnicReligionMix
Indicates a relationship where a group or context involves a combined or overlapping presence of specific ethnic identities and religious affiliations.
-
D.
otherMajorReligion
Indicates that an entity’s primary religious affiliation is a major religion other than the one currently in focus or being referenced.
-
E.
ethnicReligion
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
- 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_69d85cd21dcc81908646251b1c26ea00 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f88a5dc8190a2d7830748e29180 |
completed | April 16, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69ded2874b788190999158e0f043be21 |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:34 a.m.