Triple
T2814502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Slovakia |
E54249
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Liptovský Mikuláš |
E177149
|
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: Liptovský Mikuláš | Statement: [Central Slovakia, containsCity, Liptovský Mikuláš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Liptovský Mikuláš Context triple: [Central Slovakia, containsCity, Liptovský Mikuláš]
-
A.
Liptovský Mikuláš
chosen
Liptovský Mikuláš is a town in northern Slovakia known as a gateway to the Low Tatras and a regional center of tourism, culture, and winter sports.
-
B.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
-
C.
Prešporok
Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
-
D.
Topoľčany
Topoľčany is a town in western Slovakia known as the birthplace of several notable Slovak ice hockey players, including Miroslav Šatan.
-
E.
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.
- 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_69b055d3dbb8819094df5e6751dd96c4 |
completed | March 10, 2026, 5:33 p.m. |
Created at: March 6, 2026, 9:59 p.m.