Triple
T8411515
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line D (Buenos Aires Underground) |
E198633
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object |
Olleros station
Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
|
E737497
|
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: Olleros station | Statement: [Line D (Buenos Aires Underground), hasStation, Olleros station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olleros station Context triple: [Line D (Buenos Aires Underground), hasStation, Olleros station]
-
A.
Bulnes station
Bulnes station is a stop on Buenos Aires’ underground network, serving passengers on Line D in the Palermo area.
-
B.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
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.
-
D.
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.
-
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: Olleros station Triple: [Line D (Buenos Aires Underground), hasStation, Olleros station]
Generated description
Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Olleros station Target entity description: Olleros station is a stop on Buenos Aires’ Line D subway, serving the Palermo and Colegiales neighborhoods in Argentina’s capital.
-
A.
Bulnes station
Bulnes station is a stop on Buenos Aires’ underground network, serving passengers on Line D in the Palermo area.
-
B.
Arriola station
Arriola station is a passenger station on Line 1 of the Lima Metro system in Lima, Peru.
-
C.
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.
-
D.
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.
-
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_69ce397e169c8190b2decf637b422e6c |
completed | April 2, 2026, 9:40 a.m. |
| NEDg | Description generation | batch_69ce3d5cda908190887b8c38ef0cc1e2 |
completed | April 2, 2026, 9:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce3dc22c3c8190b8b2c396a74f5911 |
completed | April 2, 2026, 9:58 a.m. |
Created at: March 30, 2026, 6:05 p.m.