Triple
T2738341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Insan |
E60685
|
entity |
| Predicate | beginsWithTranslation |
P16916
|
FINISHED |
| Object | Has there come upon man a period of time when he was not a thing mentioned? |
—
|
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: Has there come upon man a period of time when he was not a thing mentioned? | Statement: [Surah Al-Insan, beginsWithTranslation, Has there come upon man a period of time when he was not a thing mentioned?]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: beginsWithTranslation Context triple: [Surah Al-Insan, beginsWithTranslation, Has there come upon man a period of time when he was not a thing mentioned?]
-
A.
beganWith
Indicates that one event, process, or state started with or was initiated by another specified event, process, or state.
-
B.
hasTranslation
Indicates that one entity is a translation or translated version of another entity in a different language.
-
C.
preambleBeginsWith
Indicates that the preamble of a document or text starts with a specified substring, phrase, or content.
-
D.
textOpeningTranslation
Indicates that a text serves as a translation of the opening section of another text.
-
E.
firstLineTranslation
chosen
Indicates that one text is a translation of the first line of another text.
- 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_69ab4b77febc819095603eb012cd141b |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb147a588190829b74fe05b3a114 |
completed | March 7, 2026, 8 a.m. |
| PD | Predicate disambiguation | batch_69abd82859348190bce3be8f2e9d60ba |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:56 p.m.