Triple
T6740387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | el-Sisi family |
E154064
|
entity |
| Predicate | hasMemberInSector |
P13980
|
FINISHED |
| Object | military |
—
|
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: military | Statement: [el-Sisi family, hasMemberInSector, military]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMemberInSector Context triple: [el-Sisi family, hasMemberInSector, military]
-
A.
hasMembershipBy
Indicates that an entity holds or acquires membership in a group, organization, or program by means of a specified agent, process, or instrument.
-
B.
hasMemberFrom
chosen
Indicates that a group, organization, or collection includes at least one member originating from or belonging to a specified source, place, or category.
-
C.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
D.
hasMemberOrganizationsIn
Indicates that an entity includes or comprises member organizations that are located in or associated with a specified place or region.
-
E.
hasMembers
Indicates that a group, organization, or collection includes certain entities as 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_69c6880d84d8819095d19de2295f26ac |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d18971e081908372cd25d52a11bd |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d09067a0819087ed6c820f4699f8 |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:10 p.m.