Triple
T6981396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shu'ayb |
E161853
|
entity |
| Predicate | punishmentOfPeople |
P73633
|
FINISHED |
| Object | divine punishment after persistent disbelief |
—
|
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: divine punishment after persistent disbelief | Statement: [Shu'ayb, punishmentOfPeople, divine punishment after persistent disbelief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: punishmentOfPeople Context triple: [Shu'ayb, punishmentOfPeople, divine punishment after persistent disbelief]
-
A.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
B.
aimOfPunishment
Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
-
C.
punishmentLocation
Indicates the place or setting where a punishment is carried out or imposed.
-
D.
convictedIndividual
Indicates that an individual has been found guilty of a crime or offense through a formal legal process and has received a conviction.
-
E.
inmates
Indicates that one entity is confined or held as a prisoner within an institution or facility associated with another entity.
- F. None of above. chosen
Provenance (4 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_69c68855dc0481909b4c7e9e9ed273db |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6db6d3f3c8190b0121f7934440c34 |
completed | March 27, 2026, 7:33 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c262508190a7708b3d9cf23d7c |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8e2d7b48190b37bb13984663cde |
completed | March 27, 2026, 7:22 p.m. |
Created at: March 27, 2026, 2:31 p.m.