Triple
T31645259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arabhi |
E807567
|
entity |
| Predicate | suitsTempo |
P83539
|
FINISHED |
| Object | madhyama kala |
—
|
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: madhyama kala | Statement: [Arabhi, suitsTempo, madhyama kala]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: suitsTempo Context triple: [Arabhi, suitsTempo, madhyama kala]
-
A.
suitType
Indicates the specific category or style of suit associated with an entity (e.g., business suit, spacesuit, wetsuit).
-
B.
tempo
Indicates the speed or pace at which an action, process, or sequence unfolds over time.
-
C.
musicalTempo
Indicates the speed or pace at which a piece of music is performed or intended to be performed.
-
D.
suit
Indicates that one entity is appropriate, fitting, or satisfactory for another entity or a particular purpose or situation.
-
E.
hasTempoCategory
chosen
Indicates that something is associated with a particular tempo classification or speed category.
- 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_69f348d9ce58819093ea2da83cbeeec1 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6a91e4f4c8190831089d81f5f0026 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a757c6e081908e37631e5d8d246b |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 30, 2026, 10:50 p.m.