Triple
T37824340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mandhata Hill |
E943010
|
entity |
| Predicate | numberOfJyotirlingasAssociated |
P95004
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Mandhata Hill, numberOfJyotirlingasAssociated, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfJyotirlingasAssociated Context triple: [Mandhata Hill, numberOfJyotirlingasAssociated, 1]
-
A.
hasNumberOfJyotirlingas
chosen
Indicates the relationship specifying how many Jyotirlingas (sacred Shiva shrines) are associated with a given entity.
-
B.
hasJyotirlingaStatus
Indicates that something holds the religious designation or status of a Jyotirlinga within the context of Hindu worship.
-
C.
hasNumberOfDivyaDesams
Indicates the specific count of Divya Desams associated with a given entity.
-
D.
numberOfTirthankaras
Indicates the specific count of Tirthankaras associated with or attributed to an entity.
-
E.
numberOfGopurams
Indicates the specific count of gopurams (temple gateway towers) associated with an 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_69f76ee987588190906506e759be5db3 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037c903be48190a2fafa53d7d50d42 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a1772e48190ba738c6d11b321e2 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:19 p.m.