Triple
T31803290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Replica Studio |
E811799
|
entity |
| Predicate | hasEquipmentFor |
P40410
|
FINISHED |
| Object | multitrack recording |
—
|
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: multitrack recording | Statement: [Replica Studio, hasEquipmentFor, multitrack recording]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEquipmentFor Context triple: [Replica Studio, hasEquipmentFor, multitrack recording]
-
A.
usesEquipment
Indicates that an entity employs or operates a particular piece of equipment to perform an action or fulfill a function.
-
B.
hasSignatureEquipment
Indicates that an entity is associated with a distinctive or characteristic piece of equipment that is uniquely or notably linked to it.
-
C.
equippedFor
chosen
Indicates that one entity is suitably provided with the necessary tools, features, or capabilities to perform a particular function or handle a specific situation for another entity or purpose.
-
D.
hasEquipmentStatus
Indicates the current operational or condition state assigned to a piece of equipment.
-
E.
hasGadget
Indicates that an entity possesses, uses, or is equipped with a particular gadget.
- 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_69f348e70d188190b4637c5509f81274 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca3dedc81908b519d53d2909868 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 30, 2026, 11:42 p.m.