Triple
T17538995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | square of opposition |
E427132
|
entity |
| Predicate | cornerRepresents |
P127844
|
FINISHED |
| Object | type of categorical proposition |
—
|
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: type of categorical proposition | Statement: [square of opposition, cornerRepresents, type of categorical proposition]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cornerRepresents Context triple: [square of opposition, cornerRepresents, type of categorical proposition]
-
A.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
B.
poleRepresentation
Indicates a representation of something in terms of its poles, typically expressing a system, function, or object using its pole-based form.
-
C.
fieldRepresents
Indicates that one field or attribute stands for, encodes, or symbolizes another concept, value, or entity.
-
D.
regionRepresentation
Indicates that one entity serves as a representation, model, or depiction of a specific geographic or spatial region associated with another entity.
-
E.
centralCrossRepresents
Indicates that a central cross symbol stands for or signifies a particular concept, object, or meaning within a given context.
- 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_69d889de677081909b22d2657b1f0292 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4536ec5f48190acff6671712d40c7 |
completed | April 19, 2026, 4 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f8b9888190aa8a45e09acf4319 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:49 a.m.