Triple
T5726864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shiva Purana |
E126285
|
entity |
| Predicate | associatedDeity |
P1481
|
FINISHED |
| Object | Nandi |
E111278
|
NE 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: Nandi | Statement: [Shiva Purana, associatedDeity, Nandi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nandi Context triple: [Shiva Purana, associatedDeity, Nandi]
-
A.
Nandi
chosen
Nandi is the sacred bull and devoted gatekeeper of the Hindu god Shiva, revered as a symbol of strength, righteousness, and dharma.
-
B.
Nandi
Nandi is a Southern Nilotic language spoken primarily by the Nandi people of western Kenya.
-
C.
The Mara
The Mara is a quick-service restaurant at Disney’s Animal Kingdom Lodge offering African-inspired and American dishes in a casual setting.
-
D.
Kiunga
Kiunga is a river port town in Western Province, Papua New Guinea, serving as a key commercial and transport hub on the Fly River.
-
E.
Ngwenyama
Ngwenyama is the traditional Swazi royal title meaning "lion," used for the reigning king of Eswatini.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c0082f723881908ce8bb13a0c0f8b7 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0250a7f6c8190a264935086608186 |
completed | March 22, 2026, 5:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c05a86eea0819090bf6f9952d8dcc9 |
completed | March 22, 2026, 9:09 p.m. |
Created at: March 22, 2026, 3:47 p.m.