Triple
T9418122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Žilina Region |
E227080
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Námestovo |
E180148
|
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: Námestovo | Statement: [Žilina Region, contains, Námestovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Námestovo Context triple: [Žilina Region, contains, Námestovo]
-
A.
Námestovo
chosen
Námestovo is a town in northern Slovakia near the Orava Reservoir, known as a local tourist and cultural center in the Orava region.
-
B.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
C.
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.
-
D.
Nové Mesto nad Váhom
Nové Mesto nad Váhom is a town in western Slovakia known for its location in the Váh River valley and its regional administrative and economic role.
-
E.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
- 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_69ca84359e7c819091148ba4b670e436 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd68cd1e3481909abcb715e2398120 |
completed | April 1, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2696450e4819086d5aac368127e5f |
completed | April 5, 2026, 1:53 p.m. |
Created at: March 30, 2026, 7:48 p.m.