Triple
T26408788
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xoodoo |
E663901
|
entity |
| Predicate | hasPlaneSize |
P170951
|
FINISHED |
| Object | 4×32 bits |
—
|
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: 4×32 bits | Statement: [Xoodoo, hasPlaneSize, 4×32 bits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPlaneSize Context triple: [Xoodoo, hasPlaneSize, 4×32 bits]
-
A.
hasSizeSystem
Indicates that an entity is associated with or defined according to a particular size measurement system.
-
B.
hasBoardSize
Indicates that an entity is associated with a board whose dimensions or overall size are specified.
-
C.
hasSize
Indicates that one entity possesses a particular physical magnitude or extent, such as length, volume, or overall dimensions.
-
D.
hasPlateauSize
Indicates that an entity possesses or is characterized by a specific plateau size, typically referring to the extent or magnitude of a flat or stable region.
-
E.
platformSize
Indicates the relative or absolute size or dimensions of a platform in relation to something else.
- 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_69ee883931888190901be96d75ee23cc |
completed | April 26, 2026, 9:48 p.m. |
| NER | Named-entity recognition | batch_69f6984bb55c8190862eb8796868d188 |
completed | May 3, 2026, 12:35 a.m. |
| PD | Predicate disambiguation | batch_69f69661e6ec8190948251c7516a32ad |
completed | May 3, 2026, 12:27 a.m. |
| PDg | Predicate description generation | batch_69f6978ec27c8190a488e1f9c2566d38 |
completed | May 3, 2026, 12:32 a.m. |
Created at: April 26, 2026, 11:36 p.m.