Triple
T22526133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | هيئة مكتب الحزب الوطني الديمقراطي |
E556908
|
entity |
| Predicate | hadMemberRole |
P108233
|
FINISHED |
| Object | أمين عام الحزب الوطني الديمقراطي |
—
|
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: أمين عام الحزب الوطني الديمقراطي | Statement: [هيئة مكتب الحزب الوطني الديمقراطي, hadMemberRole, أمين عام الحزب الوطني الديمقراطي]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hadMemberRole Context triple: [هيئة مكتب الحزب الوطني الديمقراطي, hadMemberRole, أمين عام الحزب الوطني الديمقراطي]
-
A.
hadStaffRole
chosen
Indicates that an entity served in a specific staff role or position for another entity during some period.
-
B.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
-
C.
hasRole
Indicates that an entity occupies, performs, or is assigned a specific role or function in relation to another entity or context.
-
D.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
E.
hasGroupMember
Indicates that a group or collection includes a specific entity as one of its members.
- 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_69e11e5657e881909f16ca58352c50da |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15ed352b48190a96ef2896f2978cd |
completed | April 29, 2026, 1:28 a.m. |
| PD | Predicate disambiguation | batch_69ee625e3b408190a60c759fb0b28fe2 |
completed | April 26, 2026, 7:07 p.m. |
Created at: April 16, 2026, 8:51 p.m.