Triple
T32240761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Senussi dynasty |
E823604
|
entity |
| Predicate | regionalBaseOfSupport |
P102321
|
FINISHED |
| Object | Cyrenaica |
—
|
NE NERFINISHED |
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: Cyrenaica | Statement: [Senussi dynasty, regionalBaseOfSupport, Cyrenaica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalBaseOfSupport Context triple: [Senussi dynasty, regionalBaseOfSupport, Cyrenaica]
-
A.
servesAsTerritorialBaseFor
chosen
Indicates that a place or area functions as the primary territorial base or stronghold from which an entity operates or exerts influence.
-
B.
partyBaseRegion
Indicates the geographic region that serves as the primary base or stronghold for a political party.
-
C.
regionWithStrongBlocSupport
Indicates that a geographic region exhibits notably high or concentrated support for a particular political bloc or alliance.
-
D.
geographicAreaOfSupport
Indicates the geographic region or area within which support, assistance, or services are provided or applicable.
-
E.
strongestSupportRegion
Indicates the region where an entity receives its highest level of support compared to all other regions.
- 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_69f3490c140481908ed53b98b561eaa1 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69feced53a7c819098ec474fb7d514b0 |
completed | May 9, 2026, 6:06 a.m. |
| PD | Predicate disambiguation | batch_69fecd9cd5288190aac8b4e04a7ee78e |
completed | May 9, 2026, 6:01 a.m. |
Created at: May 1, 2026, 12:40 a.m.