Triple
T15913164
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pardubice Air Base |
E385897
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Pardubice |
E275765
|
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: Pardubice | Statement: [Pardubice Air Base, cityServed, Pardubice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pardubice Context triple: [Pardubice Air Base, cityServed, Pardubice]
-
A.
Pardubice
chosen
Pardubice is a city in the Czech Republic known for its ice hockey tradition, historic center, and as the hometown of legendary NHL goaltender Dominik Hašek.
-
B.
Plzeň
Plzeň is a major city in western Bohemia in the Czech Republic, known for its brewing tradition and industrial heritage.
-
C.
Liberec
Liberec is a city in the northern Czech Republic known for its textile industry heritage, mountainous surroundings, and the landmark Ještěd Tower.
-
D.
Hradec Králové
Hradec Králové is a historic city in the Czech Republic known for its educational institutions, modernist architecture, and role as a regional cultural and economic center.
-
E.
Jihlava
Jihlava is a river in the Czech Republic that flows through the historical region of Moravia, including the city of Jihlava, before joining the Svratka River.
- 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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156601c988190b9bd0cd75897651b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0025ec39a8819081c0cf996bc59416 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 4:52 a.m.