Triple
T20263990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq Armada 100s |
E498915
|
entity |
| Predicate | hasExternalDriveSupport |
P33362
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Compaq Armada 100s, hasExternalDriveSupport, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExternalDriveSupport Context triple: [Compaq Armada 100s, hasExternalDriveSupport, yes]
-
A.
supportsExternalDrive
chosen
Indicates that one entity is capable of working with, recognizing, or providing functionality for an external storage drive.
-
B.
hasExternalMemory
Indicates that an entity is associated with or utilizes memory resources located outside its own primary or internal storage.
-
C.
hasInternalHardDrive
Indicates that one entity possesses an internal hard drive as a built-in storage component.
-
D.
supportsExternalCameraAccessory
Indicates that an entity is compatible with and can operate using an external camera accessory.
-
E.
supportsExternalGPU
Indicates that an entity is capable of working with or providing connectivity for an external graphics processing unit (eGPU).
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674ccff008190920b418f51dc4311 |
completed | April 20, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69e55b1e5e1c8190ba8a5544b1db9e1d |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:41 p.m.