Triple
T23838992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spatialisateur (Spat) |
E590930
|
entity |
| Predicate | typicalHostEnvironment |
P9320
|
FINISHED |
| Object | Max/MSP |
—
|
NE NERFINISHED |
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: Max/MSP | Statement: [Spatialisateur (Spat), typicalHostEnvironment, Max/MSP]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalHostEnvironment Context triple: [Spatialisateur (Spat), typicalHostEnvironment, Max/MSP]
-
A.
hostedEnvironment
Indicates that one entity provides the runtime or operational environment in which another entity is deployed, executed, or made available.
-
B.
primaryOperatingEnvironment
chosen
Indicates the main environment, platform, or context in which an entity is primarily designed to operate or function.
-
C.
typicalHostRegion
Indicates the geographic region where a host is most commonly or characteristically found or associated.
-
D.
hostSystem
Indicates that one entity serves as the primary computing or operating environment in which another entity runs, is managed, or is contained.
-
E.
typicalDeployment
Indicates that one entity represents the standard or most commonly used deployment configuration or pattern for the other entity.
- 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_69e25d1de32c8190a907afe9c3d6cd6d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c884c800819090d301740e1966cc |
completed | April 29, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
Created at: April 17, 2026, 8:08 p.m.