Triple
T25232426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumboo Savari |
E632249
|
entity |
| Predicate | processionRouteEndsAt |
P158428
|
FINISHED |
| Object | Bannimantap |
—
|
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: Bannimantap | Statement: [Jumboo Savari, processionRouteEndsAt, Bannimantap]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: processionRouteEndsAt Context triple: [Jumboo Savari, processionRouteEndsAt, Bannimantap]
-
A.
processionStartingPoint
Indicates the location or entity where a procession begins or is initiated.
-
B.
locationOfProcessions
Indicates the place where processions occur or are held.
-
C.
hasProcessionFrom
Indicates that a procession, ceremony, or formal movement originates from or starts at a specified source location or entity.
-
D.
hasPilgrimageDestinationAtEnd
Indicates that an entity’s journey or process culminates at a specific location regarded as its pilgrimage destination.
-
E.
mainProcessionDay
Indicates the specific day on which the primary or central procession of an event or celebration takes place.
- F. None of above. chosen
Provenance (4 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47df5eafc819089a2735bd8177a27 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f4683472ec8190a483b3b8afe71720 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:06 p.m.