Triple
T37836671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | სათამაშო_ფეხი |
P172990
|
FINISHED |
| Object | მარცხენა |
—
|
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: მარცხენა | Statement: [ლევან კობიაშვილი, სათამაშო_ფეხი, მარცხენა]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: სათამაშო_ფეხი Context triple: [ლევან კობიაშვილი, სათამაშო_ფეხი, მარცხენა]
-
A.
दंड
Indicates a relationship where one entity imposes or administers punishment or penalty upon another for a wrongdoing or violation.
-
B.
subjectOfPlay
Indicates that one entity is the main topic, theme, or focus of a play created or performed by another entity.
-
C.
isToyOf
chosen
Indicates that one entity is a toy that belongs to, is used by, or is associated with another entity.
-
D.
featuredWeapon
Indicates that a particular weapon is highlighted or prominently showcased in relation to an entity, such as a character, event, or context.
-
E.
eraPlayed
Indicates the historical or stylistic time period during which something (typically a work or performance) was played or took place.
- 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.