Triple
T7467602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raas Mahotsav |
E176411
|
entity |
| Predicate | typeOfPerformance |
P63774
|
FINISHED |
| Object | religious pageantry |
—
|
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: religious pageantry | Statement: [Raas Mahotsav, typeOfPerformance, religious pageantry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfPerformance Context triple: [Raas Mahotsav, typeOfPerformance, religious pageantry]
-
A.
typeOfPerformances
chosen
Indicates the kinds or categories of performances associated with or offered by an entity.
-
B.
performerType
Indicates the role or category of performer responsible for carrying out an action or participating in an event.
-
C.
theatreType
Indicates the specific category or kind of theatre associated with an entity, such as its format, style, or operational model.
-
D.
typicalPerformance
Indicates the usual or characteristic level at which an entity performs under normal conditions.
-
E.
performingArtsDomain
Indicates that the subject operates within, is related to, or is characterized by the field of performing arts.
- 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_69c69f223fd88190b4c69b95d7cbeeda |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f3f589cc81909f25268838c7c964 |
completed | March 27, 2026, 9:17 p.m. |
| PD | Predicate disambiguation | batch_69c6f03bad9c8190bdd5abb86d37df47 |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:40 p.m.