Triple
T8471928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple II paddles |
E200298
|
entity |
| Predicate | hasAxisCount |
P83508
|
FINISHED |
| Object | one analog axis per paddle |
—
|
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: one analog axis per paddle | Statement: [Apple II paddles, hasAxisCount, one analog axis per paddle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAxisCount Context triple: [Apple II paddles, hasAxisCount, one analog axis per paddle]
-
A.
hasAxisConfiguration
Indicates that one entity specifies or defines the axis arrangement, orientation, or setup used by another entity.
-
B.
hasIntermediateAxisLength
Indicates that an entity is associated with a specific value representing the length of its intermediate (middle-sized) axis.
-
C.
usesAxis
Indicates that one entity employs or relies on another entity as a reference axis or basis for orientation, measurement, or organization.
-
D.
hasCentralAxis
Indicates that one entity serves as the primary central axis or line of symmetry around which another entity is organized, aligned, or structured.
-
E.
hasDimension
Indicates that an entity possesses a specific measurable extent or size along one or more axes (e.g., length, width, height).
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f3a81881908f20514579945ffa |
completed | March 31, 2026, 3:14 p.m. |
| PD | Predicate disambiguation | batch_69cbd10072cc819084be1ed9ac7ebe9d |
completed | March 31, 2026, 1:49 p.m. |
| PDg | Predicate description generation | batch_69cbe30c2d088190b4cb89adb4e88273 |
completed | March 31, 2026, 3:06 p.m. |
Created at: March 30, 2026, 6:11 p.m.