Triple
T20302918
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kozármisleny |
E505529
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Baranya County |
—
|
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: Baranya County | Statement: [Kozármisleny, locatedIn, Baranya County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Baranya County Context triple: [Kozármisleny, locatedIn, Baranya County]
-
A.
Baranya County
chosen
Baranya County is an administrative region in southern Hungary known for its cultural center Pécs, wine-producing areas, and diverse natural landscapes.
-
B.
Trencsén County
Trencsén County was a historic administrative county of the Kingdom of Hungary, located in what is now northwestern Slovakia.
-
C.
Makó District
Makó District is an administrative district in Csongrád-Csanád County in southeastern Hungary, centered around the town of Makó.
-
D.
Turóc County
Turóc County was a historic administrative county of the Kingdom of Hungary, located in what is today central Slovakia.
-
E.
Békés County
Békés County is an administrative region in southeastern Hungary known for its agricultural landscape and proximity to the Romanian border.
- 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.