Triple
T10618590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baidhyanath Temple, Deoghar |
E295185
|
entity |
| Predicate | numberOfJyotirlingas |
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: [Baidhyanath Temple, Deoghar, numberOfJyotirlingas, one of the twelve Jyotirlingas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJyotirlingas Context triple: [Baidhyanath Temple, Deoghar, numberOfJyotirlingas, 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.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an entity.
-
D.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
E.
numberOfJainCaves
Indicates the quantity of caves associated with Jainism that are present at or within a given entity or site.
- 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_69d6ad9cac2c81908e8a7bed82d1e21d |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d6df6ee1848190a7d5fcd40b06cfe3 |
completed | April 8, 2026, 11:06 p.m. |
| PD | Predicate disambiguation | batch_69d6dd7a223c8190854409d76368f3e8 |
completed | April 8, 2026, 10:58 p.m. |
Created at: April 8, 2026, 8:19 p.m.