Triple
T7498049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verse of Purification |
E177182
|
entity |
| Predicate | commentedOnIn |
P27296
|
FINISHED |
| Object | tafsir literature |
—
|
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: tafsir literature | Statement: [Verse of Purification, commentedOnIn, tafsir literature]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commentedOnIn Context triple: [Verse of Purification, commentedOnIn, tafsir literature]
-
A.
commentedOnBy
Indicates that an entity has received a comment authored or posted by another entity.
-
B.
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).
-
C.
commentaryOn
Indicates that one entity provides evaluative or explanatory remarks about another entity, such as a work, event, or statement.
-
D.
mentionedWith
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
E.
isNotedOn
chosen
Indicates that information about one entity is recorded, mentioned, or annotated on another entity (such as a document, record, or medium).
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f81b431481908214b69c6c8d83bc |
completed | March 27, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69c6f4d266d88190982cf5d2ee2e9564 |
completed | March 27, 2026, 9:21 p.m. |
Created at: March 27, 2026, 3:44 p.m.