Triple
T7782387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fengdu County |
E221551
|
entity |
| Predicate | religiousTraditionsPresent |
P6676
|
FINISHED |
| Object | Taoism |
—
|
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: Taoism | Statement: [Fengdu County, religiousTraditionsPresent, Taoism]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousTraditionsPresent Context triple: [Fengdu County, religiousTraditionsPresent, Taoism]
-
A.
religiousTraditions
Indicates a relationship where certain religious customs, practices, or belief systems are associated with or observed by an entity.
-
B.
religionsPresent
chosen
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
C.
religiousTextTradition
Indicates that a religious text is associated with, originates from, or is authoritative within a particular religious tradition or denomination.
-
D.
theologicalTradition
Indicates the religious or doctrinal school, lineage, or system of belief within which an entity’s theology is developed or practiced.
-
E.
partOfReligiousTradition
Indicates that one entity belongs to, is included within, or is practiced as a component of a particular religious tradition.
- 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_69ca83ebbef881909ac47f789145fef7 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cae7e779ec8190b77296d9c2ac3210 |
completed | March 30, 2026, 9:15 p.m. |
| PD | Predicate disambiguation | batch_69caa488532c819093ac40bba0b3c7ef |
completed | March 30, 2026, 4:27 p.m. |
Created at: March 30, 2026, 4:21 p.m.