Triple
T8473370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line E (Buenos Aires Underground) |
E200331
|
entity |
| Predicate | station |
P726
|
FINISHED |
| Object |
Varela station
Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
|
E792268
|
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: Varela station | Statement: [Line E (Buenos Aires Underground), station, Varela station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Varela station Context triple: [Line E (Buenos Aires Underground), station, Varela station]
-
A.
Vicente Valdés station
Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
-
B.
J. Ruiz station
J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
-
C.
Pino Suárez station
Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
-
D.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
E.
Santiago Bueras station
Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
- 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: Varela station Triple: [Line E (Buenos Aires Underground), station, Varela station]
Generated description
Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Varela station Target entity description: Varela station is a stop on Buenos Aires’ Line E subway, serving passengers in the city’s southeastern neighborhoods.
-
A.
Vicente Valdés station
Vicente Valdés station is a key interchange and terminal station in Santiago's metro network, serving as an important hub for passengers in the southern part of the city.
-
B.
J. Ruiz station
J. Ruiz station is an elevated stop on Manila’s LRT Line 2 serving commuters in the San Juan area of Metro Manila, Philippines.
-
C.
Pino Suárez station
Pino Suárez station is a major Mexico City Metro interchange hub located in the historic center, connecting multiple lines and serving as a key transit point for commuters.
-
D.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
E.
Santiago Bueras station
Santiago Bueras station is an underground stop on Santiago’s Metro network serving Line 5 in the western part of the city.
- 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_69ca831a4f348190bfdd09250e86ae35 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe4f4fbf481909e4fd7c078b27477 |
completed | March 31, 2026, 3:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e2b483308190ab0bb30c483cafcc |
completed | April 4, 2026, 10:06 a.m. |
| NEDg | Description generation | batch_69d0e502b68081909a9f9476421ba9b5 |
completed | April 4, 2026, 10:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d0e5af7360819096c6295de0ce5f32 |
completed | April 4, 2026, 10:19 a.m. |
Created at: March 30, 2026, 6:11 p.m.