Triple
T4058089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liptov |
E84742
|
entity |
| Predicate | hasVillage |
P4011
|
FINISHED |
| Object | Vlkolínec |
E389736
|
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: Vlkolínec | Statement: [Liptov, hasVillage, Vlkolínec]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vlkolínec Context triple: [Liptov, hasVillage, Vlkolínec]
-
A.
Vlkolínec
chosen
Vlkolínec is a remarkably well-preserved UNESCO-listed Slovak mountain village known for its traditional wooden architecture and folk heritage.
-
B.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
C.
Zličín
Zličín is a district in the western part of Prague that serves as a key transport hub and terminus of a Prague Metro line.
-
D.
České Velenice
České Velenice is a town in the South Bohemian Region of the Czech Republic known for its strategic railway junction and position directly opposite the Austrian town of Gmünd on the Czech–Austrian border.
-
E.
Kopřivnice
Kopřivnice is a town in the Moravian-Silesian Region of the Czech Republic, known for its automotive industry and as the birthplace of legendary long-distance runner Emil Zátopek.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b52e31c819099f9d354c197cf00 |
completed | March 14, 2026, 2:06 p.m. |
Created at: March 9, 2026, 3:38 p.m.