Triple
T10313426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Slovakia |
E241953
|
entity |
| Predicate | includesCity |
P3207
|
FINISHED |
| Object | Trenčín |
E78081
|
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: Trenčín | Statement: [Western Slovakia, includesCity, Trenčín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trenčín Context triple: [Western Slovakia, includesCity, Trenčín]
-
A.
Trenčín
chosen
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.
-
B.
Trnava
Trnava is a historic city in western Slovakia known for its well-preserved medieval center and numerous churches, earning it the nickname "Little Rome."
-
C.
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.
-
D.
Žilina
Žilina is a city in northwestern Slovakia that serves as an important industrial and transportation hub, particularly for rail connections in the region.
-
E.
Banská Bystrica
Banská Bystrica is a historic central Slovak city best known as the main center of the anti-Nazi Slovak National Uprising during World War II.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d35a292c8190bc8c467e522bba92 |
completed | April 7, 2026, 9:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5b744b534819095b272ba8943f7b7 |
completed | April 20, 2026, 5:19 a.m. |
Created at: April 6, 2026, 11:48 a.m.