Triple
T12082643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيف الإسلام معمر القذافي |
E287717
|
entity |
| Predicate | الاهتمام_السياسي |
P85533
|
FINISHED |
| Object | العلاقة بين ليبيا والغرب |
—
|
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: العلاقة بين ليبيا والغرب | Statement: [سيف الإسلام معمر القذافي, الاهتمام_السياسي, العلاقة بين ليبيا والغرب]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: الاهتمام_السياسي Context triple: [سيف الإسلام معمر القذافي, الاهتمام_السياسي, العلاقة بين ليبيا والغرب]
-
A.
politicalCategory
Indicates the political classification or ideological grouping that an entity belongs to or is associated with.
-
B.
participatesInPoliticsOf
Indicates involvement or active engagement by one entity in the political processes, affairs, or governance activities of another entity.
-
C.
politicalIssueIn
Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
-
D.
isPoliticalHub
Indicates that a place or entity serves as a central location or focal point for political activity, organization, or influence.
-
E.
politicalAwareness
chosen
Indicates an entity’s level of understanding, concern, or engagement with political issues, processes, or power structures.
- 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.