Triple
T12082660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيف الإسلام معمر القذافي |
E287717
|
entity |
| Predicate | الشهرة |
P52554
|
FINISHED |
| Object | معروف على نطاق واسع في العالم العربي |
—
|
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: معروف على نطاق واسع في العالم العربي | Statement: [سيف الإسلام معمر القذافي, الشهرة, معروف على نطاق واسع في العالم العربي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الشهرة Context triple: [سيف الإسلام معمر القذافي, الشهرة, معروف على نطاق واسع في العالم العربي]
-
A.
التأثير
Indicates a relationship where one entity produces a change or has an influence on another entity or its state.
-
B.
Höhepunkt
Indicates the climax or peak point reached within an event, process, or development.
-
C.
الملحن
Indicates that an entity is the composer or creator of a musical work for another entity (such as a song, piece, or performance).
-
D.
fameFor
chosen
Indicates that one entity is widely known or recognized specifically because of, or in connection with, another entity.
-
E.
מאפיין עונתי
Indicates that something exhibits a seasonal characteristic, pattern, or variation over time.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9178ad99c8190a54777b9bbe998bc |
completed | April 10, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69d915000454819089fee00022055599 |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:48 p.m.