Triple
T20236216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gerstetten |
E498153
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Pilisvörösvár |
—
|
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: Pilisvörösvár | Statement: [Gerstetten, hasTwinTown, Pilisvörösvár]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pilisvörösvár Context triple: [Gerstetten, hasTwinTown, Pilisvörösvár]
-
A.
Pilisvörösvár
chosen
Pilisvörösvár is a town in central Hungary known for its German minority heritage and proximity to Budapest.
-
B.
Csákvár
Csákvár is a small town in central Hungary known for its rural character and location within the Transdanubian region.
-
C.
Vasvár
Vasvár is a small historic town in western Hungary known for its medieval heritage and role as a former county seat.
-
D.
Pécsvárad
Pécsvárad is a small historic town in southern Hungary known for its medieval abbey and scenic setting near the Mecsek Mountains.
-
E.
Nagyvázsony
Nagyvázsony is a village in Veszprém County, Hungary, known for its historic Kinizsi Castle and traditional rural character.
- 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716a5af0819095ea419a4d1f0d1d |
completed | April 20, 2026, 6:33 p.m. |
Created at: April 11, 2026, 11:40 p.m.