Triple
T32838608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | بحر المتقارب |
E839901
|
entity |
| Predicate | يُستشهد له بـ |
P63729
|
FINISHED |
| Object | قصائد جاهلية وإسلامية |
—
|
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: قصائد جاهلية وإسلامية | Statement: [بحر المتقارب, يُستشهد له بـ, قصائد جاهلية وإسلامية]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: يُستشهد له بـ Context triple: [بحر المتقارب, يُستشهد له بـ, قصائد جاهلية وإسلامية]
-
A.
mentionedAs
Indicates that one entity is referred to or cited by name or description in the context of another entity.
-
B.
mentionedWith
chosen
Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
-
C.
notableWorkDedicatedToHim
Indicates that a notable work (such as a book, artwork, or composition) is formally dedicated to the referenced person.
-
D.
usedByNotablePerson
Indicates that something is or has been used by a person who is widely recognized or notable.
-
E.
veneratedFigureMentioned
Indicates that a person who is highly respected or revered is explicitly referenced or mentioned in relation to another entity or context.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:16 a.m.