Triple
T12754415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lučenec |
E304819
|
entity |
| Predicate | hasRoadConnectionTo |
P11435
|
FINISHED |
| Object | Veľký Krtíš |
E278182
|
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: Veľký Krtíš | Statement: [Lučenec, hasRoadConnectionTo, Veľký Krtíš]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veľký Krtíš Context triple: [Lučenec, hasRoadConnectionTo, Veľký Krtíš]
-
A.
Veľký Krtíš
chosen
Veľký Krtíš is a small town in southern Slovakia known as an administrative and economic center of the surrounding wine-growing and agricultural region.
-
B.
Svätý Jur
Svätý Jur is a historic small town in western Slovakia known for its wine-making tradition and proximity to the capital, Bratislava.
-
C.
Velká Deštná
Velká Deštná is a prominent mountain in northeastern Bohemia, Czech Republic, known for its scenic views and popular hiking trails.
-
D.
Veliki Borak
Veliki Borak is a village located within the Barajevo municipality in the wider Belgrade region of Serbia.
-
E.
Velký Meder
Velký Meder is a spa and tourist town in southwestern Slovakia known for its thermal baths and recreational facilities.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f67c9aa6308190bfcb1511a561c0f9 |
completed | May 2, 2026, 10:37 p.m. |
Created at: April 9, 2026, 5:27 p.m.