Triple
T20302929
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozármisleny |
E505529
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object | Kozármisleny SE |
—
|
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: Kozármisleny SE | Statement: [Kozármisleny, hasSportsClub, Kozármisleny SE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kozármisleny SE Context triple: [Kozármisleny, hasSportsClub, Kozármisleny SE]
-
A.
Kozármisleny
chosen
Kozármisleny is a small town in southern Hungary, near Pécs, known for its growing residential character and local sports culture.
-
B.
Komárno
Komárno is a historic town and river port in southern Slovakia, situated at the confluence of the Danube and Váh rivers on the border with Hungary.
-
C.
Zalakomár
Zalakomár is a village in southwestern Hungary known for its rural character and proximity to the Zala River and nearby wetlands.
-
D.
Kozelets
Kozelets is an urban-type settlement in northern Ukraine, historically known as a local administrative and trading center.
-
E.
Sedlčany
Sedlčany is a small historic town in the Czech Republic known for its traditional cheese production and location on the Mastník River.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773e0864819095d272659cd2074d |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:17 a.m.