Triple
T5467964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Srisailam Temple |
E122759
|
entity |
| Predicate | jyotirlingaNumber |
P46565
|
FINISHED |
| Object | one of the twelve Jyotirlingas |
—
|
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: one of the twelve Jyotirlingas | Statement: [Srisailam Temple, jyotirlingaNumber, one of the twelve Jyotirlingas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: jyotirlingaNumber Context triple: [Srisailam Temple, jyotirlingaNumber, one of the twelve Jyotirlingas]
-
A.
hasJyotirlingaStatus
chosen
Indicates that something holds the religious designation or status of a Jyotirlinga within the context of Hindu worship.
-
B.
hasNumberOfDivyaDesams
Indicates the specific count of Divya Desams associated with a given entity.
-
C.
numberOfJainCaves
Indicates the quantity of caves associated with Jainism that are present at or within a given entity or site.
-
D.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
E.
pilgrimageTempleCount
Indicates the number of temples associated with or visited during a particular pilgrimage.
- 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_69bd4643f16081908d7f29e08096115a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd927c946c8190aef40679199fede3 |
completed | March 20, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69bd91a370a88190b5d17b8a5387138d |
completed | March 20, 2026, 6:27 p.m. |
Created at: March 20, 2026, 2:09 p.m.