Triple
T37836675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ლევან კობიაშვილი |
E943355
|
entity |
| Predicate | გოლები_ეროვნულნაკრებში |
P43239
|
FINISHED |
| Object | 10-ზე მეტი გოლი |
—
|
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: 10-ზე მეტი გოლი | Statement: [ლევან კობიაშვილი, გოლები_ეროვნულნაკრებში, 10-ზე მეტი გოლი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: გოლები_ეროვნულნაკრებში Context triple: [ლევან კობიაშვილი, გოლები_ეროვნულნაკრებში, 10-ზე მეტი გოლი]
-
A.
olympicGames
Indicates that an entity is an edition or instance of the Olympic Games event.
-
B.
nationalSport
Indicates that a particular sport is officially recognized as the primary or representative sport of a country or nation.
-
C.
sportCountry
Indicates the country with which a given sport, sporting event, or sports organization is associated or primarily linked.
-
D.
playsForNationality
Indicates that an athlete or player represents a particular country or nationality in a sport or competition.
-
E.
goalsForNationalTeam
chosen
Indicates the number of goals an individual has scored while playing for their national team.
- 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.