Triple
T37788037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ მესხის სახელობის სტადიონი |
E942008
|
entity |
| Predicate | განკუთვნილია |
P12882
|
FINISHED |
| Object | საერთაშორისო მატჩებისთვის |
—
|
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: საერთაშორისო მატჩებისთვის | Statement: [მიხეილ მესხის სახელობის სტადიონი, განკუთვნილია, საერთაშორისო მატჩებისთვის]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: განკუთვნილია Context triple: [მიხეილ მესხის სახელობის სტადიონი, განკუთვნილია, საერთაშორისო მატჩებისთვის]
-
A.
известенС
Indicates that one entity is known or recognized by another entity.
-
B.
გავლის_ქვეყანა
Indicates a country through which something or someone passes or travels.
-
C.
გვარი
Indicates a relationship where one entity is the family name or surname of another entity.
-
D.
covered
Indicates that one entity lies over or on top of another entity so as to conceal, protect, or obscure it.
-
E.
givenFor
chosen
Indicates that something is provided, offered, or assigned in favor of or on behalf of a particular entity or purpose.
- 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.