Triple
T37836682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | იყო_წევრი |
P1168
|
FINISHED |
| Object | საქართველოს პარლამენტი |
—
|
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: საქართველოს პარლამენტი | Statement: [ლევან კობიაშვილი, იყო_წევრი, საქართველოს პარლამენტი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: იყო_წევრი Context triple: [ლევან კობიაშვილი, იყო_წევრი, საქართველოს პარლამენტი]
-
A.
formerMemberOf
chosen
Indicates that an entity once belonged to or was affiliated with a group, organization, or body, but is no longer a member.
-
B.
OICMember
Indicates that an entity is a member state or participant in the Organization of Islamic Cooperation (OIC).
-
C.
boardMember
Indicates that a person serves on the governing board of an organization, participating in its oversight and decision-making.
-
D.
foundingMember
Indicates that an entity is one of the original creators or initial participants involved in establishing another entity, such as an organization, group, or project.
-
E.
hadMember
Indicates that an entity was formerly a member or part of another entity or group.
- 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_69f76eeb0f7081908d6d3adbc469889c |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbbae559a8819086ef839973f8d9b2 |
completed | May 6, 2026, 10:04 p.m. |
| PD | Predicate disambiguation | batch_69fbb1440fa08190abf25ba684f75b6e |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.