Triple
T8223743
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line B (Buenos Aires Underground) |
E192126
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Medrano station
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
|
E719556
|
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: Medrano station | Statement: [Line B (Buenos Aires Underground), hasStation, Medrano station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Medrano station Context triple: [Line B (Buenos Aires Underground), hasStation, Medrano station]
-
A.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
-
B.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
C.
San Javier station
San Javier station is a major western terminus and transfer hub of the Medellín Metro system in Medellín, Colombia.
-
D.
Los Reyes station
Los Reyes station is a Mexico City Metro stop on Line A serving the Los Reyes La Paz area in the eastern part of the metropolitan region.
-
E.
Lo Prado station
Lo Prado station is an underground stop on Santiago, Chile’s Metro system serving the Lo Prado commune along Line 5.
- 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: Medrano station Triple: [Line B (Buenos Aires Underground), hasStation, Medrano station]
Generated description
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Medrano station Target entity description: Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
-
A.
Pedrero station
Pedrero station is a Santiago Metro stop in Chile located near the Estadio Monumental, serving passengers on the city’s Line 5.
-
B.
Martínez Nadal station
Martínez Nadal station is a rapid transit stop on the Tren Urbano system serving the San Juan metropolitan area in Puerto Rico.
-
C.
San Javier station
San Javier station is a major western terminus and transfer hub of the Medellín Metro system in Medellín, Colombia.
-
D.
Los Reyes station
Los Reyes station is a Mexico City Metro stop on Line A serving the Los Reyes La Paz area in the eastern part of the metropolitan region.
-
E.
Lo Prado station
Lo Prado station is an underground stop on Santiago, Chile’s Metro system serving the Lo Prado commune along Line 5.
- 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_69ca82c9a8ac81908b011c38698456e4 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb77cc351481908d7dcd6d3d15d59f |
completed | March 31, 2026, 7:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ccee09ac548190a9988ff77d43e77e |
completed | April 1, 2026, 10:06 a.m. |
| NEDg | Description generation | batch_69ccf1bc720081908c4eabf58336318a |
completed | April 1, 2026, 10:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd05f26f9c8190a3cc00c03c6dda95 |
completed | April 1, 2026, 11:48 a.m. |
Created at: March 30, 2026, 5:45 p.m.