Triple
T3964021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spišská Kapitula |
E85971
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Levoča |
E413550
|
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: Levoča | Statement: [Spišská Kapitula, near, Levoča]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Levoča Context triple: [Spišská Kapitula, near, Levoča]
-
A.
Levoča
chosen
Levoča is a historic town in eastern Slovakia renowned for its well-preserved medieval center and Gothic architecture, including the Church of St. James with its famous wooden altar by Master Paul.
-
B.
Trebišov
Trebišov is a town in eastern Slovakia known as an administrative and cultural center of the Trebišov District.
-
C.
Prešporok
Prešporok is the historical Slovak name for the city now known as Bratislava, the capital of Slovakia.
-
D.
Dunajská Streda
Dunajská Streda is a town in southern Slovakia known as a cultural and economic center of the Hungarian minority in the country.
-
E.
Trenčín
Trenčín is a historic city in western Slovakia known for its medieval castle overlooking the Váh River and its role as a regional cultural and economic center.
- 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_69aed93a96908190bcbdbfa718f155bd |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef97326888190bbfe15b218e3112e |
completed | March 9, 2026, 4:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57688f8cc819088a61aba386deb1e |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:31 p.m.