Triple
T27972924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Islamic Penal Code of Iran |
E706410
|
entity |
| Predicate | providesForPunishment |
P181647
|
FINISHED |
| Object | death penalty |
—
|
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: death penalty | Statement: [Islamic Penal Code of Iran, providesForPunishment, death penalty]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesForPunishment Context triple: [Islamic Penal Code of Iran, providesForPunishment, death penalty]
-
A.
punishmentIncludes
Indicates that a specified punishment encompasses or contains another specified punitive measure as one of its components.
-
B.
punishedBy
Indicates that an entity receives punishment administered by another entity.
-
C.
reasonForPunishment
Indicates that one entity is the cause, justification, or grounds for another entity receiving a punishment.
-
D.
punishmentMethod
Indicates the method or means by which a punishment is carried out on an entity.
-
E.
aimOfPunishment
Indicates that a specified purpose or objective is the intended goal or rationale behind a particular act of punishment.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
| PDg | Predicate description generation | batch_69f7805c25dc8190b9977c561ba15975 |
completed | May 3, 2026, 5:05 p.m. |
Created at: April 27, 2026, 7:39 p.m.