Triple
T29030081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SCSI Enclosure Services |
E737703
|
entity |
| Predicate | logicalUnitType |
P166288
|
FINISHED |
| Object | enclosure services device |
—
|
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: enclosure services device | Statement: [SCSI Enclosure Services, logicalUnitType, enclosure services device]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: logicalUnitType Context triple: [SCSI Enclosure Services, logicalUnitType, enclosure services device]
-
A.
coreUnitType
Indicates that one entity is classified as the primary or fundamental type/category to which another entity (a core unit) belongs.
-
B.
controlUnitType
Indicates the specific kind or category of control unit associated with or assigned to an entity.
-
C.
typeOfUnit
Indicates that one entity specifies the kind or category of measurement unit that the other entity belongs to.
-
D.
basedUnitType
Indicates that one unit is defined or derived in terms of another underlying (base) unit type.
-
E.
logicalType
Indicates that one entity is classified as a logical type or category used to define or constrain the logical behavior or interpretation of 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f6600d85008190b540a39f7cda88d3 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 9:54 a.m.