Triple
T37494748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Aziz |
E931794
|
entity |
| Predicate | hasOppositeNuanceTo |
P21665
|
FINISHED |
| Object | names emphasizing mercy |
—
|
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: names emphasizing mercy | Statement: [Al-Aziz, hasOppositeNuanceTo, names emphasizing mercy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOppositeNuanceTo Context triple: [Al-Aziz, hasOppositeNuanceTo, names emphasizing mercy]
-
A.
hasConceptualOpposite
chosen
Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
-
B.
hasOppositeConnotationInModernUsage
Indicates that one concept or expression now carries a meaning or emotional tone in contemporary usage that is opposite to that of another.
-
C.
opposite
Indicates that one entity is positioned or oriented directly across from, or in a contrary or reverse relation to, another entity.
-
D.
hasNegativeConnotation
Indicates that the referenced term, expression, or association carries an unfavorable, disapproving, or undesirable implication.
-
E.
hasOppositionalPerception
Indicates that one entity perceives another entity, concept, or situation as being in opposition, conflict, or contradiction to itself or its interests.
- 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_69f76ec457a4819094eeb3aed9baac11 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fd4d1854988190be093b103a681798 |
completed | May 8, 2026, 2:40 a.m. |
| PD | Predicate disambiguation | batch_69fd4c8d1a188190897c24527337814a |
completed | May 8, 2026, 2:38 a.m. |
Created at: May 3, 2026, 4:17 p.m.