Triple
T22097039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pozsony County |
E546062
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Trencsén 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: Trencsén County | Statement: [Pozsony County, borderedBy, Trencsén County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trencsén County Context triple: [Pozsony County, borderedBy, Trencsén County]
-
A.
Trencsén County
chosen
Trencsén County was a historic administrative county of the Kingdom of Hungary, located in what is now northwestern Slovakia.
-
B.
Szepes County
Szepes County was a historic administrative region of the Kingdom of Hungary, located in what is now northeastern Slovakia and known for its medieval towns and castles.
-
C.
Turóc County
Turóc County was a historic administrative county of the Kingdom of Hungary, located in what is today central Slovakia.
-
D.
Heves County
Heves County is an administrative region in northern Hungary known for its natural landscapes, including part of the Mátra mountain range, and historic towns such as Eger.
-
E.
Pozsony County
Pozsony County was a historic administrative region of the Kingdom of Hungary centered on the city now known as Bratislava.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128ea00d48190b020aba80dcdbec9 |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:30 p.m.