Triple
T37569242
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pretos Velhos |
E934641
|
entity |
| Predicate | categoryWithinUmbanda |
P189160
|
FINISHED |
| Object | line of spirits |
—
|
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: line of spirits | Statement: [Pretos Velhos, categoryWithinUmbanda, line of spirits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: categoryWithinUmbanda Context triple: [Pretos Velhos, categoryWithinUmbanda, line of spirits]
-
A.
Ngada festivalType
Indicates that a Ngada entity is associated with a particular type or category of festival.
-
B.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
-
C.
roleInKuomboka
Indicates that an entity holds a specific role or function within the context of the Kuomboka ceremony or event.
-
D.
languageUsedInRituals
Indicates that a particular language is employed as the medium of speech, chant, or recitation during specific rituals or ceremonial practices.
-
E.
categoryInTheology
Indicates that something belongs to, is classified within, or pertains to a particular category or domain in theology.
- F. None of above. chosen
Provenance (4 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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
| PDg | Predicate description generation | batch_69fbb9e69b7481909beaf8264d87c5e5 |
completed | May 6, 2026, 10 p.m. |
Created at: May 3, 2026, 4:17 p.m.