Triple
T21563143
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barrio de Las Letras |
E532089
|
entity |
| Predicate | hasPublicTransportConnection |
P3791
|
FINISHED |
| Object | Antón Martín metro station |
—
|
NE NERFINISHED |
How this triple was built (3 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: Antón Martín metro station | Statement: [Barrio de Las Letras, hasPublicTransportConnection, Antón Martín metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Antón Martín metro station Context triple: [Barrio de Las Letras, hasPublicTransportConnection, Antón Martín metro station]
-
A.
Argüelles metro station
Argüelles metro station is a Madrid Metro station serving the central Argüelles area, providing urban rail connections on several lines in the Spanish capital.
-
B.
Reboleira metro station
Reboleira metro station is a Lisbon Metro station serving the suburban municipality of Amadora in the Lisbon metropolitan area.
-
C.
Gran Vía metro station
Gran Vía metro station is a major Madrid Metro station in the city center, serving as an important interchange point near the Gran Vía thoroughfare.
-
D.
Vicálvaro metro station
Vicálvaro metro station is a Madrid Metro stop serving the Vicálvaro district in the eastern part of Spain’s capital.
-
E.
Goya metro station
Goya metro station is a Madrid Metro station in the Salamanca district that serves as a key access point to nearby venues, shops, and residential areas, including the Palacio de Deportes.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Antón Martín metro station Target entity description: Antón Martín metro station is a Madrid Metro station on Line 1 located in the central district of the city, serving the historic and cultural heart of Madrid.
-
A.
Argüelles metro station
Argüelles metro station is a Madrid Metro station serving the central Argüelles area, providing urban rail connections on several lines in the Spanish capital.
-
B.
Reboleira metro station
Reboleira metro station is a Lisbon Metro station serving the suburban municipality of Amadora in the Lisbon metropolitan area.
-
C.
Gran Vía metro station
Gran Vía metro station is a major Madrid Metro station in the city center, serving as an important interchange point near the Gran Vía thoroughfare.
-
D.
Vicálvaro metro station
Vicálvaro metro station is a Madrid Metro stop serving the Vicálvaro district in the eastern part of Spain’s capital.
-
E.
Goya metro station
Goya metro station is a Madrid Metro station in the Salamanca district that serves as a key access point to nearby venues, shops, and residential areas, including the Palacio de Deportes.
- F. None of above. chosen
Provenance (2 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eed2e5c3348190b67003e7027efa60 |
completed | April 27, 2026, 3:07 a.m. |
Created at: April 16, 2026, 6:29 p.m.