Triple
T35548512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkey–Georgia border |
E1027287
|
entity |
| Predicate | followsAdministrativeBoundaryInTurkey |
P120977
|
FINISHED |
| Object | Artvin Province |
—
|
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: Artvin Province | Statement: [Turkey–Georgia border, followsAdministrativeBoundaryInTurkey, Artvin Province]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsAdministrativeBoundaryInTurkey Context triple: [Turkey–Georgia border, followsAdministrativeBoundaryInTurkey, Artvin Province]
-
A.
mainTurkishBorderTown
Indicates that a location is the primary or most significant town situated on or near the border with Turkey.
-
B.
adjacentProvince_Turkey
Indicates that one Turkish province is geographically adjacent to (shares a border with) another Turkish province.
-
C.
geographicBoundary
Indicates that one entity serves as a limiting border or edge that defines the geographic extent or separation of another entity.
-
D.
borderingAdministrativeTerritorialEntity
chosen
Indicates that one administrative territorial entity shares a common boundary with another administrative territorial entity.
-
E.
borderGovernorate
Indicates that one governorate shares a common boundary with another governorate.
- 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_69f76e008ba08190927acd8e5e0344c8 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69ff0d80c0dc81909fbd12285c7a45c0 |
completed | May 9, 2026, 10:33 a.m. |
| PD | Predicate disambiguation | batch_69ff0cd03e78819094895058f925fbfa |
completed | May 9, 2026, 10:30 a.m. |
Created at: May 3, 2026, 4:04 p.m.