Triple
T19758789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Váh Valley |
E474572
|
entity |
| Predicate | hasTown |
P847
|
FINISHED |
| Object | Komárno |
—
|
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: Komárno | Statement: [Váh Valley, hasTown, Komárno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Komárno Context triple: [Váh Valley, hasTown, Komárno]
-
A.
Komárno
chosen
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.
-
B.
Kežmarok
Kežmarok is a historic town in northern Slovakia known for its well-preserved medieval architecture and role as a cultural center of the Spiš (Spisz) region.
-
C.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
-
D.
Liptovský Hrádok
Liptovský Hrádok is a small Slovak town in the Liptov region, known for its historic castle complex and location near the Tatra Mountains.
-
E.
Banská Belá
Banská Belá is a historic village in central Slovakia known for its long-standing association with the region’s mining industry.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6531d711c8190996fcf967c39c523 |
completed | April 20, 2026, 4:23 p.m. |
Created at: April 10, 2026, 1:48 p.m.