Triple
T15756127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teleférico de Madrid |
E381971
|
entity |
| Predicate | terminusStation |
P15150
|
FINISHED |
| Object |
Estación de Rosales
Estación de Rosales is a cable car station in Madrid that serves as one end of the Teleférico de Madrid aerial lift line.
|
E1175465
|
NE FINISHED |
How this triple was built (4 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: Estación de Rosales | Statement: [Teleférico de Madrid, terminusStation, Estación de Rosales]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Estación de Rosales Context triple: [Teleférico de Madrid, terminusStation, Estación de Rosales]
-
A.
Medrano station
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
-
B.
Águeda station
Águeda station is a railway station in the city of Águeda, Portugal, serving passengers on the narrow-gauge Vouga Line.
-
C.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
-
D.
Estación de Aravaca
Estación de Aravaca is a light rail station in the Madrid metropolitan area that serves as a key interchange between the Metro Ligero network and Cercanías commuter rail services.
-
E.
Navas station
Navas station is a Barcelona Metro stop in the Sant Andreu district, serving local commuters on the city's Line 1 network.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Estación de Rosales Triple: [Teleférico de Madrid, terminusStation, Estación de Rosales]
Generated description
Estación de Rosales is a cable car station in Madrid that serves as one end of the Teleférico de Madrid aerial lift line.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Estación de Rosales Target entity description: Estación de Rosales is a cable car station in Madrid that serves as one end of the Teleférico de Madrid aerial lift line.
-
A.
Medrano station
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
-
B.
Águeda station
Águeda station is a railway station in the city of Águeda, Portugal, serving passengers on the narrow-gauge Vouga Line.
-
C.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
-
D.
Estación de Aravaca
Estación de Aravaca is a light rail station in the Madrid metropolitan area that serves as a key interchange between the Metro Ligero network and Cercanías commuter rail services.
-
E.
Navas station
Navas station is a Barcelona Metro stop in the Sant Andreu district, serving local commuters on the city's Line 1 network.
- F. None of above. chosen
Provenance (5 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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e050b1ff4881909d5240d1d30f5c8b |
completed | April 16, 2026, 3 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff87714a8481909f8489c73ac89c11 |
completed | May 9, 2026, 7:13 p.m. |
| NEDg | Description generation | batch_69ff887dc9cc81908833f9881647d82f |
completed | May 9, 2026, 7:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff8970b85081909c8eb114851841f1 |
completed | May 9, 2026, 7:22 p.m. |
Created at: April 10, 2026, 4:47 a.m.