Triple
T8614876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meenakshi Thirukalyanam |
E204009
|
entity |
| Predicate | hasProcessions |
P29711
|
FINISHED |
| Object | temple chariot processions |
—
|
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: temple chariot processions | Statement: [Meenakshi Thirukalyanam, hasProcessions, temple chariot processions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProcessions Context triple: [Meenakshi Thirukalyanam, hasProcessions, temple chariot processions]
-
A.
hasParades
chosen
Indicates that an entity regularly holds or hosts parades as events or activities.
-
B.
ceremonialProcession
Indicates a formal, often ritualized movement of people or objects in an organized sequence as part of a ceremony or official event.
-
C.
hasParadeRoute
Indicates that an entity is associated with or follows a specific route used for a parade.
-
D.
hasParadeFeature
Indicates that an entity includes, exhibits, or is characterized by a particular feature or element of a parade.
-
E.
returnProcessionName
Indicates that an entity provides or yields the name associated with a specific procession.
- 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.