Triple
T8411510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line D (Buenos Aires Underground) |
E198633
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Bulnes station
Bulnes station is a stop on Buenos Aires’ underground network, serving passengers on Line D in the Palermo area.
|
E734800
|
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: Bulnes station | Statement: [Line D (Buenos Aires Underground), hasStation, Bulnes station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bulnes station Context triple: [Line D (Buenos Aires Underground), hasStation, Bulnes station]
-
A.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
B.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
Talavera station
Talavera station is one of the intermediate stops on Wellington’s historic cable car line in New Zealand, serving nearby residential and university areas.
-
D.
Irarrázaval station
Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
-
E.
Medrano station
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
- 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: Bulnes station Triple: [Line D (Buenos Aires Underground), hasStation, Bulnes station]
Generated description
Bulnes station is a stop on Buenos Aires’ underground network, serving passengers on Line D in the Palermo area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bulnes station Target entity description: Bulnes station is a stop on Buenos Aires’ underground network, serving passengers on Line D in the Palermo area.
-
A.
Camino Agrícola station
Camino Agrícola station is a stop on Santiago, Chile’s Metro system serving Line 5 in the southeastern part of the city.
-
B.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
Talavera station
Talavera station is one of the intermediate stops on Wellington’s historic cable car line in New Zealand, serving nearby residential and university areas.
-
D.
Irarrázaval station
Irarrázaval station is a key interchange stop on the Santiago Metro system in Chile, serving as a connection point between multiple lines in the city’s underground network.
-
E.
Medrano station
Medrano station is a stop on Buenos Aires’ Line B underground, serving the Almagro neighborhood near Avenida Medrano.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb83e0341c819080506e696131671e |
completed | March 31, 2026, 8:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d3d9f848190bd425b80aa58a376 |
completed | April 2, 2026, 7:39 a.m. |
| NEDg | Description generation | batch_69ce2133972881909c7a4b44d6799d9e |
completed | April 2, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce21e74d9481908f04b2ab5b57f8a5 |
completed | April 2, 2026, 7:59 a.m. |
Created at: March 30, 2026, 6:05 p.m.