Triple
T1329310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Polish Air Force checkerboard |
E28604
|
entity |
| Predicate | hasQuadrants |
P27279
|
FINISHED |
| Object | 4 |
—
|
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 | Statement: [Polish Air Force checkerboard, hasQuadrants, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasQuadrants Context triple: [Polish Air Force checkerboard, hasQuadrants, 4]
-
A.
quadrant
Indicates the specific quarter or sector of a larger two-dimensional space or area in which an entity is located or classified.
-
B.
isQuadrangleOf
Indicates that one entity is a four-sided polygon (quadrilateral) that has the other entity as its defining instance or member.
-
C.
crossesQuadrantBoundaryAt
Indicates that an entity’s path or position passes from one quadrant into another specifically at a given point or time.
-
D.
hasNumberOfSquares
Indicates that an entity is associated with a specific count of squares it contains or comprises.
-
E.
hasQuark
Indicates that one entity possesses, contains, or is composed of the other entity as a quark.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c30c948190afc6342b3dcda948 |
completed | March 1, 2026, 10:46 p.m. |
| PD | Predicate disambiguation | batch_69a4beef6a188190996f8775bdda8f6c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4c0b1326081909aa6beec0cfe8d6c |
completed | March 1, 2026, 10:41 p.m. |
Created at: March 1, 2026, 7:55 p.m.