Triple
T21418169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wala |
E528360
|
entity |
| Predicate | traditionalReligionPresence |
P6676
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Wala, traditionalReligionPresence, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traditionalReligionPresence Context triple: [Wala, traditionalReligionPresence, yes]
-
A.
religionsPresent
chosen
Indicates that one or more religions are present, practiced, or represented in relation to a given entity or context.
-
B.
religiousEnvironment
Indicates the religious context, atmosphere, or setting in which an entity exists or an action takes place.
-
C.
religiousGroupsPresent
Indicates that one or more religious groups are present or represented in a given context, location, or situation.
-
D.
traditionalReligionName
Indicates that an entity has a name specifically associated with a traditional or indigenous religion.
-
E.
hostReligion
Indicates that an entity organizes, accommodates, or provides a venue for a particular religious group, event, or practice.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d29f948190b820c92014d1c53a |
completed | April 26, 2026, 7:09 p.m. |
| PD | Predicate disambiguation | batch_69e61633f8208190a2a849457c4e4198 |
completed | April 20, 2026, 12:04 p.m. |
Created at: April 16, 2026, 5:46 p.m.