Triple
T16913806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PRG |
E410269
|
entity |
| Predicate | servesAsHubFor |
P423
|
FINISHED |
| Object | Czech Airlines |
E33033
|
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: Czech Airlines | Statement: [PRG, servesAsHubFor, Czech Airlines]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Czech Airlines Context triple: [PRG, servesAsHubFor, Czech Airlines]
-
A.
Czech Airlines
chosen
Czech Airlines is the national flag carrier of the Czech Republic, operating scheduled passenger flights across Europe and to select long-haul destinations.
-
B.
Austrian Airlines
Austrian Airlines is the flag carrier airline of Austria, operating an extensive network of European and long-haul flights from its main hub in Vienna.
-
C.
MÁV
MÁV is the Hungarian State Railways company, responsible for operating most of Hungary’s national rail network and related infrastructure.
-
D.
Croatia Airlines
Croatia Airlines is the national flag carrier of Croatia, operating domestic and international passenger flights across Europe.
-
E.
JAT Yugoslav Airlines
JAT Yugoslav Airlines was the former national flag carrier of Yugoslavia, operating extensive domestic and international routes across Europe and beyond during much of the 20th century.
- 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.