Triple
T12168528
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rada lwa |
E289894
|
entity |
| Predicate | opposedRitualQuality |
P11522
|
FINISHED |
| Object | hot nature of Petro lwa |
—
|
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: hot nature of Petro lwa | Statement: [Rada lwa, opposedRitualQuality, hot nature of Petro lwa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: opposedRitualQuality Context triple: [Rada lwa, opposedRitualQuality, hot nature of Petro lwa]
-
A.
opposedQualityTo
chosen
Indicates that one quality stands in direct opposition or contrast to another quality.
-
B.
typeOfOpposition
Indicates a relationship where one entity stands in opposition or contrast to another, such as being a rival, adversary, or countering force.
-
C.
hasRitual
Indicates that an entity performs, observes, or is associated with a specific ritual or ceremonial practice.
-
D.
ritualAttitude
Indicates an entity’s characteristic stance, mindset, or emotional orientation toward a ritual or ritual practice.
-
E.
theoryOpposed
Indicates that one theory stands in opposition to, or conflicts with, another theory.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.