Triple
T2814501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Slovakia |
E54249
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Ružomberok |
E40882
|
NE FINISHED |
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: Ružomberok | Statement: [Central Slovakia, containsCity, Ružomberok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ružomberok Context triple: [Central Slovakia, containsCity, Ružomberok]
-
A.
Ružomberok
chosen
Ružomberok is a town in northern Slovakia known for its location in the Liptov region and its historical and cultural significance.
-
B.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
C.
Rimavská Sobota
Rimavská Sobota is a town in southern Slovakia known as a regional center in the Banská Bystrica Region with historical roots and a mixed cultural heritage.
-
D.
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.
-
E.
Šamorín
Šamorín is a small town in southwestern Slovakia known for its equestrian sports complex, proximity to the Danube River, and growing role as a suburban area near Bratislava.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ab49de0af08190b3da69683be1e728 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abde4d29488190a32461906dd9ea7e |
completed | March 7, 2026, 8:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b03127f0808190841fa2572baaf5a7 |
completed | March 10, 2026, 2:56 p.m. |
Created at: March 6, 2026, 9:59 p.m.