Triple
T32089541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qur’an 46:34 |
E819549
|
entity |
| Predicate | containsQuestion |
P111136
|
FINISHED |
| Object | Is this not the truth? (addressed to disbelievers) |
—
|
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: Is this not the truth? (addressed to disbelievers) | Statement: [Qur’an 46:34, containsQuestion, Is this not the truth? (addressed to disbelievers)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsQuestion Context triple: [Qur’an 46:34, containsQuestion, Is this not the truth? (addressed to disbelievers)]
-
A.
includesQuestion
chosen
Indicates that one entity contains or incorporates a question directed toward or about another entity.
-
B.
hasKeyQuestion
Indicates that one entity possesses or is associated with a primary or central question relevant to another entity.
-
C.
questionPresented
Indicates that a question has been posed or displayed to an entity for consideration or response.
-
D.
questionText
Indicates the textual content of a question as it is posed or displayed.
-
E.
questionAsksWhether
Indicates that one entity poses a question to determine if a particular condition, fact, or proposition is true or not.
- 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_69f349004b2481908ce2e50af0d579a8 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69ffb1f0b03c81909ddb81f07ce74e88 |
completed | May 9, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69ffb1662b2481908582e0612744f4c5 |
completed | May 9, 2026, 10:12 p.m. |
Created at: May 1, 2026, 12:25 a.m.