Triple
T23172449
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Believers |
E578893
|
entity |
| Predicate | hasCultDepiction |
P18272
|
FINISHED |
| Object | Santería-like religion |
—
|
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: Santería-like religion | Statement: [The Believers, hasCultDepiction, Santería-like religion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCultDepiction Context triple: [The Believers, hasCultDepiction, Santería-like religion]
-
A.
hasCulturalDepiction
chosen
Indicates that one entity is represented, portrayed, or depicted in the cultural work or expression of another entity.
-
B.
hasCultFeature
Indicates that an entity possesses a characteristic, attribute, or element associated with cultic or ritual practices.
-
C.
hasCultSince
Indicates that an entity has had an organized group of devoted followers (a cult) continuously since a specified time or date.
-
D.
hasAllegoricalDepictionsBy
Indicates that one entity is represented through allegorical depictions created by another entity.
-
E.
culturalDepictionBy
Indicates that one entity serves as the creator or source of a cultural representation or portrayal of another entity.
- 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_69e245fd2a388190b814c0dfa15f7148 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f30ce148190a6de928c8213399e |
completed | April 29, 2026, 4:55 a.m. |
| PD | Predicate disambiguation | batch_69ef89ff76808190808ee4ad9dea776b |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:04 p.m.