Triple
T23063307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oster Uyezd |
E574963
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Oster |
—
|
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: Oster | Statement: [Oster Uyezd, capital, Oster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oster Context triple: [Oster Uyezd, capital, Oster]
-
A.
Oster
Oster is a consumer appliance brand best known for its blenders, kitchen tools, and small household electronics.
-
B.
Oster
chosen
Oster is a historic town in northern Ukraine, situated near the Desna River and known for its medieval origins and architectural landmarks.
-
C.
Oster
Oster is a German surname borne by various notable individuals, including figures in military, political, and cultural history.
-
D.
Osterfest
Osterfest is a traditional Easter festival in Pomerode, Brazil, celebrated for its German-inspired customs, decorated eggs, and family-oriented cultural activities.
-
E.
Ostercappeln
Ostercappeln is a municipality in Lower Saxony, Germany, known for its rural character and location near the city of Osnabrück.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a1f49c81909db7e0473ec2bb1b |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.