Triple
T16089840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letňany |
E390332
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Letňany metro station |
E969013
|
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: Letňany metro station | Statement: [Letňany, hasTransport, Letňany metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letňany metro station Context triple: [Letňany, hasTransport, Letňany metro station]
-
A.
Obor metro station
Obor metro station is a Bucharest Metro station serving the Obor area, an important commercial and transport hub in Romania’s capital.
-
B.
Słodowiec metro station
Słodowiec metro station is an underground rapid transit station in Warsaw, Poland, serving the city's Metro Line M1 in the Bielany district.
-
C.
Rissne metro station
Rissne metro station is a Stockholm metro station on the blue line, serving the Rissne district in Sundbyberg, Sweden.
-
D.
Aviatorilor metro station
Aviatorilor metro station is a Bucharest Metro station on Line M2, serving the Aviatorilor area near Herăstrău Park and several major boulevards.
-
E.
Bořislavka metro station
chosen
Bořislavka metro station is a station on Prague’s Metro Line A serving the Bořislavka area in the Prague 6 district.
- 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_69d87f198bc48190a8b7e53ca15b7ead |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e184522b2c8190986daae6cb2d9db4 |
completed | April 17, 2026, 12:52 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe490d494819081f812811f032702 |
completed | May 10, 2026, 1:51 a.m. |
Created at: April 10, 2026, 4:59 a.m.