Triple
T17538994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | square of opposition |
E427132
|
entity |
| Predicate | diagonalRepresents |
P127843
|
FINISHED |
| Object | contradiction |
—
|
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: contradiction | Statement: [square of opposition, diagonalRepresents, contradiction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diagonalRepresents Context triple: [square of opposition, diagonalRepresents, contradiction]
-
A.
diagonalProperty
Indicates a relationship where something possesses or exhibits a diagonal characteristic, alignment, or behavior relative to a reference frame or structure.
-
B.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
C.
rimRepresents
Indicates that one entity serves as a representation, model, or stand-in for another entity within a specific context or system.
-
D.
poleRepresentation
Indicates a representation of something in terms of its poles, typically expressing a system, function, or object using its pole-based form.
-
E.
representationIn
Indicates that one entity serves as a depiction, model, or stand-in for another entity within a given context or medium.
- 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.