Triple
T8614910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chithirai Festival |
E204010
|
entity |
| Predicate | featuresProcession |
P6086
|
FINISHED |
| Object | Meenakshi and Sundareswarar in temple chariots |
—
|
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: Meenakshi and Sundareswarar in temple chariots | Statement: [Chithirai Festival, featuresProcession, Meenakshi and Sundareswarar in temple chariots]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresProcession Context triple: [Chithirai Festival, featuresProcession, Meenakshi and Sundareswarar in temple chariots]
-
A.
ceremonialProcession
chosen
Indicates a formal, often ritualized movement of people or objects in an organized sequence as part of a ceremony or official event.
-
B.
featuresProducer
Indicates that an entity serves as the producer or creator responsible for generating the features of another entity.
-
C.
featuresSequence
Indicates that one entity presents or contains another entity as an ordered sequence of features or elements.
-
D.
featuresFigureOf
Indicates that one entity includes or presents another entity as a figure, illustration, or visual element.
-
E.
featuresReturnOf
Indicates that something (such as a work, event, or product) includes or highlights the comeback or reappearance of a person, character, element, or feature.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc47020748819090f658c115c1a7b9 |
completed | March 31, 2026, 10:13 p.m. |
| PD | Predicate disambiguation | batch_69cc455437488190b7506f820daf6e32 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:25 p.m.