Triple
T25586990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thiruvambady Sri Krishna Temple |
E641412
|
entity |
| Predicate | oneOfMainParticipantsOf |
P6467
|
FINISHED |
| Object | Thrissur Pooram |
—
|
NE NERFINISHED |
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: Thrissur Pooram | Statement: [Thiruvambady Sri Krishna Temple, oneOfMainParticipantsOf, Thrissur Pooram]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: oneOfMainParticipantsOf Context triple: [Thiruvambady Sri Krishna Temple, oneOfMainParticipantsOf, Thrissur Pooram]
-
A.
notableParticipant
chosen
Indicates that an entity plays a significant or distinguished role as a participant in an event, activity, or context.
-
B.
notableNonEuropeanParticipant
Indicates that an event, activity, or context includes a significant participant who is from outside Europe.
-
C.
coupParticipantIn
Indicates that an entity took part in, contributed to, or was involved in carrying out a specific coup event.
-
D.
peopleAssociatedWith
Indicates that there exists some form of connection, involvement, or relationship between the referenced people.
-
E.
notableWorkOfParticipant
Indicates that a particular work (such as a creation, project, or performance) is notably associated with and produced or performed by a given participant.
- 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_69e75dc42b588190a98b58e0df359674 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f96a44bc8190a38439dbc297ebc5 |
completed | May 2, 2026, 1:17 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 21, 2026, 4:17 p.m.