Triple
T13451819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quran 21:85 |
E320624
|
entity |
| Predicate | listsAmong |
P109559
|
FINISHED |
| Object | the patient ones |
—
|
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: the patient ones | Statement: [Quran 21:85, listsAmong, the patient ones]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: listsAmong Context triple: [Quran 21:85, listsAmong, the patient ones]
-
A.
listsGiant
Indicates that one entity enumerates or catalogs another entity that is characterized as a giant.
-
B.
listsMeans
Indicates that one entity enumerates or specifies the meaning, definition, or interpretation of another entity.
-
C.
listsExample
Indicates that one entity provides or enumerates another entity as an example within a list.
-
D.
listType
Indicates that one entity specifies the classification or category type of a list associated with another entity.
-
E.
listAPurpose
Indicates that an entity enumerates or specifies the purposes, goals, or intended uses 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_69d80761e6cc8190a90c844589998ecc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaefae85481909e6a59797cbb25e7 |
completed | April 12, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69d9a03ce03481908c61094f0cc0c158 |
completed | April 11, 2026, 1:13 a.m. |
| PDg | Predicate description generation | batch_69dadce235f88190a6433395d2969811 |
completed | April 11, 2026, 11:44 p.m. |
Created at: April 9, 2026, 9:41 p.m.