Triple
T17404592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zalaegerszeg |
E423178
|
entity |
| Predicate | hasTwinTown |
P919
|
FINISHED |
| Object | Zvolen |
—
|
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: Zvolen | Statement: [Zalaegerszeg, hasTwinTown, Zvolen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zvolen Context triple: [Zalaegerszeg, hasTwinTown, Zvolen]
-
A.
Zvolen
chosen
Zvolen is a historic town in central Slovakia known for its medieval castle and role as a regional transport and cultural hub.
-
B.
Vác
Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
-
C.
Zvolen District
Zvolen District is an administrative district in central Slovakia, centered around the town of Zvolen and known for its historical sites and surrounding mountainous landscape.
-
D.
Námestovo
Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
-
E.
Ružomberok
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
- 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_69d889d7d27c819088486ce3f0627fa1 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43b068248819088871d79f8a38f30 |
completed | April 19, 2026, 2:16 a.m. |
Created at: April 10, 2026, 5:45 a.m.