Triple
T8223739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line B (Buenos Aires Underground) |
E192126
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Callao station
Callao station is a subway stop on Buenos Aires’ underground network, serving passengers in the central area of the city.
|
E723961
|
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: Callao station | Statement: [Line B (Buenos Aires Underground), hasStation, Callao station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Callao station Context triple: [Line B (Buenos Aires Underground), hasStation, Callao station]
-
A.
Callao metro station
Callao metro station is an underground station on the Madrid Metro network located in the central Gran Vía area of Spain’s capital.
-
B.
Lima station
Lima station is an underground metro station on Buenos Aires’ Line A, serving the city’s central area.
-
C.
Miramar station
Miramar station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal city of Viña del Mar.
-
D.
O’Higgins Station
O’Higgins Station is a Chilean Antarctic research base located on the Antarctic Peninsula, used primarily for scientific studies and maintaining Chile’s presence in the region.
-
E.
Baquedano station
Baquedano station is a major interchange hub in the Santiago Metro system, connecting multiple lines and serving as a key access point to the central area of Chile’s capital.
- 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: Callao station Triple: [Line B (Buenos Aires Underground), hasStation, Callao station]
Generated description
Callao station is a subway stop on Buenos Aires’ underground network, serving passengers in the central area of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Callao station Target entity description: Callao station is a subway stop on Buenos Aires’ underground network, serving passengers in the central area of the city.
-
A.
Callao metro station
Callao metro station is an underground station on the Madrid Metro network located in the central Gran Vía area of Spain’s capital.
-
B.
Lima station
Lima station is an underground metro station on Buenos Aires’ Line A, serving the city’s central area.
-
C.
Miramar station
Miramar station is a passenger rail station on the Valparaíso Metro system in Chile, serving the coastal city of Viña del Mar.
-
D.
O’Higgins Station
O’Higgins Station is a Chilean Antarctic research base located on the Antarctic Peninsula, used primarily for scientific studies and maintaining Chile’s presence in the region.
-
E.
Baquedano station
Baquedano station is a major interchange hub in the Santiago Metro system, connecting multiple lines and serving as a key access point to the central area of Chile’s capital.
- 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_69cd67ec97348190a1ae7fc8d30af838 |
completed | April 1, 2026, 6:46 p.m. |
| NEDg | Description generation | batch_69cd6c21172481908dc04b85ee4370a8 |
completed | April 1, 2026, 7:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cd7dd65fac8190b8f44b1cf2be7bdd |
completed | April 1, 2026, 8:19 p.m. |
Created at: March 30, 2026, 5:45 p.m.