Triple
T20263994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Compaq Armada 100s |
E498915
|
entity |
| Predicate | hasVGAOutput |
P139454
|
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, hasVGAOutput, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasVGAOutput Context triple: [Compaq Armada 100s, hasVGAOutput, yes]
-
A.
hasHDMIPort
Indicates that one entity (typically a device) is equipped with an HDMI port that can be used to connect to another entity.
-
B.
hasHardware
Indicates that one entity possesses, includes, or is equipped with specific hardware components or devices.
-
C.
has3DGraphics
Indicates that something includes or supports three-dimensional graphical representation or rendering.
-
D.
hasPhysicalDisplays
Indicates that an entity possesses one or more tangible, visible display units or interfaces.
-
E.
supportsGraphicsSwitching
Indicates that an entity can dynamically switch between different graphics hardware or rendering modes, typically to balance performance and power usage.
- 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_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. |
| PDg | Predicate description generation | batch_69e56702ad04819099c1c08f28d16809 |
completed | April 19, 2026, 11:36 p.m. |
Created at: April 11, 2026, 11:41 p.m.