Triple
T25868616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Basir |
E651687
|
entity |
| Predicate | impliesNegationOf |
P1661
|
FINISHED |
| Object | any limitation in God’s seeing |
—
|
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: any limitation in God’s seeing | Statement: [Al-Basir, impliesNegationOf, any limitation in God’s seeing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: impliesNegationOf Context triple: [Al-Basir, impliesNegationOf, any limitation in God’s seeing]
-
A.
implies
chosen
Indicates that the truth of one statement guarantees or leads logically to the truth of another statement.
-
B.
negates
Indicates that one entity denies, contradicts, or renders false the assertion, state, or effect expressed by another.
-
C.
doesNotImply
Indicates that the truth of one statement or condition does not guarantee or lead to the truth of another statement or condition.
-
D.
converseStatement
Indicates that one entity makes a spoken or written statement directed toward another entity in the context of a conversation.
-
E.
canBeNegatedAsAxiom
Indicates that a given statement or formula can be treated as an axiom in its negated form within a logical system.
- 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_69e7ab3a199c81909227cb964cacfe24 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f602da6e808190a3ff3786b1b07c65 |
completed | May 2, 2026, 1:57 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 8:08 a.m.