Triple
T38555208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 66:9 |
E925224
|
entity |
| Predicate | describesHellAs |
P20220
|
FINISHED |
| Object | an evil destination |
—
|
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: an evil destination | Statement: [Quran 66:9, describesHellAs, an evil destination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: describesHellAs Context triple: [Quran 66:9, describesHellAs, an evil destination]
-
A.
viewsHellAs
chosen
Indicates that one entity regards or conceptualizes hell in a particular way or from a particular perspective.
-
B.
numberOfHells
Indicates the quantity or count of distinct hells associated with a given entity or context.
-
C.
portraysUnderworld
Indicates that an entity depicts or represents the underworld or a subterranean realm in some medium or context.
-
D.
punishedInAfterlife
Indicates that an entity is subjected to punishment or negative consequences in an afterlife or post-mortem realm.
-
E.
stateOfDevils
Indicates a condition, status, or situation specifically associated with devils.
- 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_69f76eaeb69c8190b367df9330d6f6af |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:32 p.m.