Triple
T12818884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rhodopian bagpipe |
E306473
|
entity |
| Predicate | droneFunction |
P106526
|
FINISHED |
| Object | provides continuous tonic note |
—
|
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: provides continuous tonic note | Statement: [Rhodopian bagpipe, droneFunction, provides continuous tonic note]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: droneFunction Context triple: [Rhodopian bagpipe, droneFunction, provides continuous tonic note]
-
A.
roverFunction
Indicates that an entity serves as a rover and specifies the function, role, or operational purpose it performs.
-
B.
droneCaste
Indicates a relationship where an entity belongs to or is classified as part of a drone caste within a social or hierarchical system.
-
C.
robotFunction
Indicates the specific role, task, or operational purpose that a robot is designed or configured to perform.
-
D.
airCapability
Indicates that an entity possesses the ability or resources to operate or project power in the air (e.g., through aircraft, air defenses, or related systems).
-
E.
airbornePlatformFor
Indicates that one entity serves as an airborne platform or carrier used to support, transport, or deploy another entity.
- F. None of above. chosen
Provenance (4 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9e5a2481908921d097df541db8 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d964100f7481909a197396003d4a71 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:31 p.m.