Triple
T16913784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRG |
E410269
|
entity |
| Predicate | represents |
P129
|
FINISHED |
| Object | Václav Havel Airport Prague |
E86655
|
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: Václav Havel Airport Prague | Statement: [PRG, represents, Václav Havel Airport Prague]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Václav Havel Airport Prague Context triple: [PRG, represents, Václav Havel Airport Prague]
-
A.
Václav Havel Airport Prague
chosen
Václav Havel Airport Prague is the main international airport serving Prague and the largest airport in the Czech Republic.
-
B.
Karlovy Vary Airport
Karlovy Vary Airport is a regional international airport in the Czech Republic serving the spa city of Karlovy Vary and its surrounding area.
-
C.
Hradec Králové Airport
Hradec Králové Airport is a regional civil and general aviation airport serving the city of Hradec Králové in the Czech Republic.
-
D.
Leoš Janáček Airport Ostrava
Leoš Janáček Airport Ostrava is an international airport in the Czech Republic serving the city of Ostrava and the surrounding Moravian-Silesian region.
-
E.
Pardubice Airport
Pardubice Airport is a regional international airport in the Czech Republic that serves both civilian and military air traffic.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7be679c8190b9d0b0b9cfe185d3 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.