Triple
T17937557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samba |
E448506
|
entity |
| Predicate | associatedPlace |
P1481
|
FINISHED |
| Object | Prabhasa |
—
|
NE NERFINISHED |
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: Prabhasa | Statement: [Samba, associatedPlace, Prabhasa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prabhasa Context triple: [Samba, associatedPlace, Prabhasa]
-
A.
Prabhasa
chosen
Prabhasa is a sacred coastal pilgrimage site in western India, traditionally associated with the Yadava clan and the end of Lord Krishna’s earthly life.
-
B.
Prabhu
Prabhu is an Indian film actor best known for his work in Tamil cinema and as the son of legendary actor Sivaji Ganesan.
-
C.
Simhadri
Simhadri is a 2003 Telugu-language action drama film starring Jr. NTR that became one of director S. S. Rajamouli’s early commercial blockbusters.
-
D.
Raghava
Raghava is an epithet of the Hindu deity Rama, highlighting his lineage from the Raghu dynasty and his role as a central hero of the Ramayana.
-
E.
Srinatha
Srinatha was a renowned 14th–15th century Telugu poet and scholar celebrated for his courtly poetry and major contributions to classical Telugu literature.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f79d14819095540856928f0e25 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad937f0881909d22ac8c2be9e35e |
completed | April 19, 2026, 10:25 a.m. |
Created at: April 10, 2026, 10:21 a.m.