Triple
T21423957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commodore 1541 |
E528504
|
entity |
| Predicate | hasDriveNumberRange |
P143911
|
FINISHED |
| Object | device numbers 8–11 (configurable by hardware modification) |
—
|
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: device numbers 8–11 (configurable by hardware modification) | Statement: [Commodore 1541, hasDriveNumberRange, device numbers 8–11 (configurable by hardware modification)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDriveNumberRange Context triple: [Commodore 1541, hasDriveNumberRange, device numbers 8–11 (configurable by hardware modification)]
-
A.
typicalCarNumberRange
Indicates the usual or commonly expected numerical range of cars associated with an entity (such as a location, time period, or context).
-
B.
RVNumberRange
Indicates that a recreational vehicle’s number or identifier falls within a specified numeric range.
-
C.
droveCarNumber
Indicates that a person operated or was driving a specific car identified by its number.
-
D.
hasRange
Indicates that a property or relation is constrained to take its values from a specified class, type, or value set.
-
E.
hasShipNumberRange
Indicates that an entity is associated with ships whose identification numbers fall within a specified numeric range.
- 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_69e0c455f3688190810bc96365791b0f |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee813b798c8190a379cbf6cc6e14d2 |
completed | April 26, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69e61639ee288190889ffd500d1260f6 |
completed | April 20, 2026, 12:04 p.m. |
| PDg | Predicate description generation | batch_69e6190163448190a2404b396215c686 |
completed | April 20, 2026, 12:16 p.m. |
Created at: April 16, 2026, 5:48 p.m.