Triple
T36687138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nissar Ahmed |
E905845
|
entity |
| Predicate | religiousIdentityInWork |
P42587
|
FINISHED |
| Object | Muslim voice in Kannada literature |
—
|
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: Muslim voice in Kannada literature | Statement: [Nissar Ahmed, religiousIdentityInWork, Muslim voice in Kannada literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: religiousIdentityInWork Context triple: [Nissar Ahmed, religiousIdentityInWork, Muslim voice in Kannada literature]
-
A.
religiousWorkType
Indicates the specific type or category of religious work or activity associated with an entity.
-
B.
religionRelatedWork
chosen
Indicates that a work (such as a text, artwork, or project) is related to, concerned with, or produced in the context of a particular religion or religious tradition.
-
C.
hasReligionOccupationFocus
Indicates that an occupation is primarily focused on religious activities, roles, or responsibilities.
-
D.
roleInStateReligion
Indicates that an entity holds a specific function, position, or involvement within the officially recognized religion of a state.
-
E.
hasReligious
Indicates that an entity is associated with, practices, or adheres to a particular religion or religious affiliation.
- 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_69f76e70d2448190bdd3ce781ba971c5 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a0004582bb08190b8d0b88251e8d333 |
completed | May 10, 2026, 4:06 a.m. |
| PD | Predicate disambiguation | batch_6a0003e3e5588190933beea5fb28f150 |
completed | May 10, 2026, 4:04 a.m. |
Created at: May 3, 2026, 4:12 p.m.