Triple
T37788020
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ მესხის სახელობის სტადიონი |
E942008
|
entity |
| Predicate | სახელმწიფო |
P120044
|
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: [მიხეილ მესხის სახელობის სტადიონი, სახელმწიფო, საქართველო]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: სახელმწიფო Context triple: [მიხეილ მესხის სახელობის სტადიონი, სახელმწიფო, საქართველო]
-
A.
worldName
Indicates that an entity has or is associated with a specific world’s name.
-
B.
ეროვნება
chosen
Indicates a relationship where an entity has or is associated with a particular nationality.
-
C.
world
Indicates a relationship or context that spans or pertains to the entire world or global scope.
-
D.
დამფუძნებელი ქვეყანა
Indicates that one entity is a founding country of another entity, such as an organization, union, or initiative.
-
E.
keyWorld
Indicates that one entity functions as a primary or central concept (a "key word") in relation to another entity, such as a topic, document, or context.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fbb9e8108c8190ae1c7940b1677e95 |
completed | May 6, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fbb141605c8190b9c27d70352522db |
completed | May 6, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:19 p.m.