Triple
T26280459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ayat al-Nur |
E660686
|
entity |
| Predicate | widelyCommentedBy |
P11804
|
FINISHED |
| Object | classical Muslim exegetes |
—
|
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: classical Muslim exegetes | Statement: [Ayat al-Nur, widelyCommentedBy, classical Muslim exegetes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: widelyCommentedBy Context triple: [Ayat al-Nur, widelyCommentedBy, classical Muslim exegetes]
-
A.
commentedOnBy
chosen
Indicates that an entity has received a comment authored or posted by another entity.
-
B.
frequentlyDiscussedIn
Indicates that a topic, subject, or entity is often the focus of conversation, debate, or mention within a particular context or medium.
-
C.
commentatedFor
Indicates that one entity provided live or recorded commentary or analysis for an event, performance, or broadcast on behalf of another entity (such as an organization, channel, or client).
-
D.
widelyCoveredBy
Indicates that something (such as an event, topic, or issue) receives extensive attention or reporting from many media outlets or information sources.
-
E.
influencedDiscussionOf
Indicates that one entity had an effect on the way another entity was discussed, framed, or debated.
- 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_69ee812960d081909cff6085cc9fa3a6 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60e740b208190aa72953e32ab9ebf |
completed | May 2, 2026, 2:47 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
Created at: April 26, 2026, 10 p.m.