Triple
T28518763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ka-tet |
E721697
|
entity |
| Predicate | hasOppositeOrContrast |
P21665
|
FINISHED |
| Object | random or unconnected group |
—
|
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: random or unconnected group | Statement: [ka-tet, hasOppositeOrContrast, random or unconnected group]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositeOrContrast Context triple: [ka-tet, hasOppositeOrContrast, random or unconnected group]
-
A.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
B.
hasConceptualOpposite
chosen
Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
-
C.
hasContrastingRelationshipWith
Indicates a relationship in which two entities are opposed, divergent, or markedly different in qualities, roles, or effects.
-
D.
oftenContrastedWith
Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
-
E.
hasOppositionalElements
Indicates that something contains components or aspects that are in conflict, contrast, or opposition to each other.
- F. None of above.
Provenance (3 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_69f01a5cbcc4819083fb4e723378713e |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69f6e6029a10819098ff21f58079e70e |
completed | May 3, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69f6e3d5e8188190b1e1c2e5d1b77031 |
completed | May 3, 2026, 5:57 a.m. |
Created at: April 28, 2026, 3:19 a.m.