Triple
T2738361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Surah Al-Insan |
E60685
|
entity |
| Predicate | mentionsPunishment |
P831
|
FINISHED |
| Object | chains and shackles |
—
|
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: chains and shackles | Statement: [Surah Al-Insan, mentionsPunishment, chains and shackles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mentionsPunishment Context triple: [Surah Al-Insan, mentionsPunishment, chains and shackles]
-
A.
hasPunishment
Indicates that an entity is subject to a specified penalty, sanction, or adverse consequence as a result of some action, condition, or rule.
-
B.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
C.
punishmentLocation
Indicates the place or setting where a punishment is carried out or imposed.
-
D.
mentions
chosen
Indicates that one entity refers to, cites, or brings up another entity in some form of communication or content.
-
E.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
- 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.