Triple
T25490194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kesava Temple, Somanathapura |
E638816
|
entity |
| Predicate | hasSanctumCount |
P162103
|
FINISHED |
| Object | 3 |
—
|
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: 3 | Statement: [Kesava Temple, Somanathapura, hasSanctumCount, 3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSanctumCount Context triple: [Kesava Temple, Somanathapura, hasSanctumCount, 3]
-
A.
hasSanctumImage
Indicates that an entity is associated with a specific image representing its sanctum or sacred/private space.
-
B.
hasMainSanctum
Indicates that an entity possesses a primary or central sacred space used for core religious or spiritual activities.
-
C.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
D.
hasNewSanctuary
Indicates that an entity has acquired or established a new sanctuary location or protected refuge.
-
E.
hasSanctuaryStatus
Indicates that an entity is officially designated or recognized as a sanctuary, enjoying a protected or special status.
- 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_69e75dbbd2a88190b70e1e645de14b9a |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f622abdfac8190988421c946411d7e |
completed | May 2, 2026, 4:13 p.m. |
| PD | Predicate disambiguation | batch_69f620dc38088190b56b2b15ed75b3c2 |
completed | May 2, 2026, 4:05 p.m. |
| PDg | Predicate description generation | batch_69f621fbfc2c8190bfa802d7dc0f6aa4 |
completed | May 2, 2026, 4:10 p.m. |
Created at: April 21, 2026, 2:38 p.m.