Triple
T24630068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalit cinema |
E609646
|
entity |
| Predicate | circulatesThrough |
P91849
|
FINISHED |
| Object | film festivals |
—
|
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: film festivals | Statement: [Dalit cinema, circulatesThrough, film festivals]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: circulatesThrough Context triple: [Dalit cinema, circulatesThrough, film festivals]
-
A.
circulatesIn
Indicates that something moves or flows repeatedly within a particular space, system, or medium.
-
B.
circulatedVia
chosen
Indicates that something was distributed, transmitted, or made available through a particular medium, channel, or platform.
-
C.
isPassedThroughBy
Indicates that something serves as a medium, route, or channel through which another thing moves, flows, or is transmitted.
-
D.
bloodFlowsThrough
Indicates that blood moves within or along the interior of a specified anatomical structure or pathway.
-
E.
travelsThrough
Indicates that something moves along, passes across, or is routed via a particular path, medium, or location.
- 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_69e2c4d1d3708190a0f2dc6a3a8523bb |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f2be044d4c819094e14eda28d371a7 |
completed | April 30, 2026, 2:27 a.m. |
| PD | Predicate disambiguation | batch_69f2a6d0ab708190b2e3b94dd20ca76b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:32 a.m.