Triple
T23007116
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozelets Uyezd |
E572804
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Kozelets |
—
|
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: Kozelets | Statement: [Kozelets Uyezd, namedAfter, Kozelets]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kozelets Context triple: [Kozelets Uyezd, namedAfter, Kozelets]
-
A.
Kozelets
chosen
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
B.
Kosere
"Kosere" is a popular Nigerian song by singer CDQ, known for its energetic Afrobeat style and street-influenced lyrics.
-
C.
Krasny Kut
Krasny Kut is a small town in southwestern Russia known as an administrative and agricultural center within the Saratov region.
-
D.
Kotelnich
Kotelnich is a town in Kirov Oblast, Russia, known for its location on the Vyatka River and nearby rich fossil beds of Permian-period vertebrates.
-
E.
Krempachy
Krempachy is a village in southern Poland’s Lesser Poland Voivodeship, known for its traditional highland culture and proximity to the Białka River and Tatra Mountains.
- 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_69e245b6a3ac81908087599eefe3e365 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1835706dc8190b3f9743c0f336bb2 |
completed | April 29, 2026, 4:04 a.m. |
Created at: April 17, 2026, 3:51 p.m.