Triple
T21724702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Museo Arqueológico Nacional (Spain) |
E536245
|
entity |
| Predicate | publicTransitAccess |
P1288
|
FINISHED |
| Object | Serrano 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: Serrano metro station | Statement: [Museo Arqueológico Nacional (Spain), publicTransitAccess, Serrano metro station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Serrano metro station Context triple: [Museo Arqueológico Nacional (Spain), publicTransitAccess, Serrano metro station]
-
A.
Reboleira metro station
Reboleira metro station is a Lisbon Metro station serving the suburban municipality of Amadora in the Lisbon metropolitan area.
-
B.
Antón Martín metro station
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.
-
C.
Ventura Rodríguez metro station
Ventura Rodríguez metro station is a Madrid Metro station on Line 3, located near Plaza de España and serving the central Argüelles area of the city.
-
D.
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.
-
E.
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.
- 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: Serrano metro station Target entity description: Serrano metro station is a Madrid Metro station located in the upscale Salamanca district, serving as a key access point to nearby cultural and commercial areas.
-
A.
Reboleira metro station
Reboleira metro station is a Lisbon Metro station serving the suburban municipality of Amadora in the Lisbon metropolitan area.
-
B.
Antón Martín metro station
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.
-
C.
Ventura Rodríguez metro station
Ventura Rodríguez metro station is a Madrid Metro station on Line 3, located near Plaza de España and serving the central Argüelles area of the city.
-
D.
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.
-
E.
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.
- 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_69e0c46d3284819099a4f9d5a704eb95 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efd9722ce881909372fd0f1b15d242 |
completed | April 27, 2026, 9:47 p.m. |
Created at: April 16, 2026, 6:48 p.m.