Triple
T11939726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Obatalá |
E284142
|
entity |
| Predicate | ritualColor |
P90530
|
FINISHED |
| Object | white |
—
|
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: white | Statement: [Obatalá, ritualColor, white]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ritualColor Context triple: [Obatalá, ritualColor, white]
-
A.
sacredColor
chosen
Indicates that a particular color is regarded as holy, revered, or religiously significant in relation to an entity or context.
-
B.
ritualCategory
Indicates the classification relationship that assigns a ritual to a specific ritual type or category.
-
C.
ritualCharacteristics
Indicates the defining features, practices, or attributes that characterize a particular ritual.
-
D.
ritualTheme
Indicates that one entity has a ritual as a central subject, motif, or focus in relation to the other entity.
-
E.
ritualEvent
Indicates that an event is a ritual or ceremonial occurrence, typically involving prescribed actions, symbols, or practices performed according to tradition or custom.
- 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d903415d2481909d84e6727454b9fe |
completed | April 10, 2026, 2:03 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
Created at: April 8, 2026, 9:45 p.m.