Triple
T36309179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Совет министров иностранных дел ОДКБ |
E894020
|
entity |
| Predicate | типЧленства |
P18683
|
FINISHED |
| Object | министры иностранных дел государств-членов |
—
|
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: министры иностранных дел государств-членов | Statement: [Совет министров иностранных дел ОДКБ, типЧленства, министры иностранных дел государств-членов]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: типЧленства Context triple: [Совет министров иностранных дел ОДКБ, типЧленства, министры иностранных дел государств-членов]
-
A.
clubMembershipType
chosen
Indicates the specific category or level of membership that an entity holds within a club.
-
B.
membershipIn
Indicates that an entity belongs to, is part of, or holds membership in a particular group, organization, or collection.
-
C.
membershipBy
Indicates that one entity holds membership or belongs to a group, organization, or collection defined by another entity.
-
D.
memberCategory
Indicates that an entity belongs to or is classified under a specific category or group.
-
E.
membershipConsistsOf
Indicates that a membership is composed of, or includes, specific member entities as its constituents.
- 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_69f76e4c1b248190b10667d0213537fe |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7ba6d06f48190a71b5a2f19e2232f |
completed | May 3, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a4aad48190a62e41c5e39339d9 |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.