Triple
T37836676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | ეროვნულნაკრებში_დებიუტი_წელი |
P7549
|
FINISHED |
| Object | 1996 |
—
|
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: 1996 | Statement: [ლევან კობიაშვილი, ეროვნულნაკრებში_დებიუტი_წელი, 1996]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ეროვნულნაკრებში_დებიუტი_წელი Context triple: [ლევან კობიაშვილი, ეროვნულნაკრებში_დებიუტი_წელი, 1996]
-
A.
timePeriodOfDebut
Indicates the time period during which an entity first appeared, was introduced, or made its debut.
-
B.
debutYear
chosen
Indicates the year in which an entity first appeared, was introduced, or made its initial public debut.
-
C.
madeProfessionalDebutIn
Indicates the time or event in which an individual first performed or appeared in a professional capacity within a given field or organization.
-
D.
debutAs
Indicates that an entity makes its first public appearance or introduction in a particular role, medium, or context.
-
E.
debutCollectionYear
Indicates the year in which an entity’s first collection (e.g., of works, products, or items) was initially released or presented.
- 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.