Triple
T37788027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | მიხეილ მესხის სახელობის სტადიონი |
E942008
|
entity |
| Predicate | ალტერნატიულისახელი |
P39
|
FINISHED |
| Object | ლოკომოტივის სტადიონი |
—
|
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: ლოკომოტივის სტადიონი | Statement: [მიხეილ მესხის სახელობის სტადიონი, ალტერნატიულისახელი, ლოკომოტივის სტადიონი]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ალტერნატიულისახელი Context triple: [მიხეილ მესხის სახელობის სტადიონი, ალტერნატიულისახელი, ლოკომოტივის სტადიონი]
-
A.
hasAlternativeFamilyName
Indicates that an entity is associated with an additional or variant family name besides its primary family name.
-
B.
haveAlternativeTitle
Indicates that an entity is known by one or more alternative titles or names in addition to its primary title.
-
C.
hasAlternativeToponymy
Indicates that an entity is associated with one or more alternative place names or toponyms used to refer to the same geographic location.
-
D.
hasAlternativeNamesakeRole
Indicates that an entity serves in an additional or alternative role as a namesake, distinct from its primary namesake role.
-
E.
alsoKnownAs
chosen
Indicates that one entity is an alternative name, alias, or designation for another 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_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.