Triple
T1317001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | As-Samad |
E28126
|
entity |
| Predicate | negates |
P26929
|
FINISHED |
| Object | Any deficiency in Allah |
—
|
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 deficiency in Allah | Statement: [As-Samad, negates, Any deficiency in Allah]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: negates Context triple: [As-Samad, negates, Any deficiency in Allah]
-
A.
negativeFormulation
Indicates that the associated statement, condition, or requirement is expressed in a negated or prohibitive form rather than an affirmative one.
-
B.
neutralized
Indicates that one entity has rendered another entity ineffective, harmless, or no longer able to exert its intended effect.
-
C.
neglects
Indicates a relationship where one party fails to give appropriate attention, care, or consideration to another party or responsibility.
-
D.
discourages
Indicates an action or influence that deters, dissuades, or reduces the likelihood of someone performing a particular behavior or pursuing a certain outcome.
-
E.
nonConstructive
Indicates that the relationship or action does not provide a direct, explicit method or example to realize or build the object, outcome, or proof it asserts exists.
- 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_69a498532c3481909223b74af2e578df |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c175079481909077cf11ed72d6fa |
completed | March 1, 2026, 10:45 p.m. |
| PD | Predicate disambiguation | batch_69a4beebcb348190964bd7215811942c |
completed | March 1, 2026, 10:34 p.m. |
| PDg | Predicate description generation | batch_69a4bfc2134c81909cbaaa151d96e9a8 |
completed | March 1, 2026, 10:37 p.m. |
Created at: March 1, 2026, 7:55 p.m.