Triple
T37836656
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | ქვეყანა_დაბადების |
P142324
|
FINISHED |
| Object | საქართველო |
—
|
NE NERFINISHED |
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: საქართველო | Statement: [ლევან კობიაშვილი, ქვეყანა_დაბადების, საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ქვეყანა_დაბადების Context triple: [ლევან კობიაშვილი, ქვეყანა_დაბადების, საქართველო]
-
A.
გამდინარე_ქვეყანა
Indicates that one country is the source or origin country from which something (such as migrants, goods, capital, or information) flows or departs.
-
B.
გავლის_ქვეყანა
Indicates a country through which something or someone passes or travels.
-
C.
birthPolity
chosen
Indicates the political entity (such as a state or polity) under whose jurisdiction an individual was born.
-
D.
creatorCountryOfBirth
Indicates the country where the creator of an entity was born.
-
E.
countryFormed
Indicates that one country was created, established, or came into existence as a result of another country or political entity.
- 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.