Triple
T22857761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kobeliaky Uyezd |
E566830
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Kobeliaky |
—
|
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: Kobeliaky | Statement: [Kobeliaky Uyezd, administrativeCenter, Kobeliaky]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobeliaky Context triple: [Kobeliaky Uyezd, administrativeCenter, Kobeliaky]
-
A.
Kobeliaky
chosen
Kobeliaky is a historic town in central Ukraine, located in Poltava Oblast along the Vorskla River.
-
B.
Kbely
Kbely is a district in the northeastern part of Prague, Czech Republic, known for its residential character and the Prague Aviation Museum.
-
C.
Sudylkiv
Sudylkiv is a village in Ukraine, historically part of the Russian Empire, known as the birthplace of Yiddish theater actor and director Maurice Schwartz.
-
D.
Burtka
Burtka is a surname most prominently associated with American actor and chef David Burtka and his family.
-
E.
Hrebienok
Hrebienok is a popular mountain tourist resort and trailhead in the High Tatras of Slovakia, known for its easy cable car access and hiking routes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24589083081908d5694c4fdc80086 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebe3f9c8190a864f4e84dc7795d |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.