Triple
T19721393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kanipakam Vinayaka Temple |
E473616
|
entity |
| Predicate | hasAnnualProcessions |
P29711
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Kanipakam Vinayaka Temple, hasAnnualProcessions, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAnnualProcessions Context triple: [Kanipakam Vinayaka Temple, hasAnnualProcessions, yes]
-
A.
hasParades
chosen
Indicates that an entity regularly holds or hosts parades as events or activities.
-
B.
locationOfProcessions
Indicates the place where processions occur or are held.
-
C.
mainProcessionDay
Indicates the specific day on which the primary or central procession of an event or celebration takes place.
-
D.
mainProcessionType
Indicates the primary category or kind of procession associated with an event or context.
-
E.
hasPilgrimageOrFeast
Indicates that there is a religious pilgrimage or feast associated with, dedicated to, or occurring in relation to the referenced entity.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e649f483c481908c6b3114bf9c5934 |
completed | April 20, 2026, 3:44 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.