Triple
T8408842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenos Aires Underground Line E |
E198569
|
entity |
| Predicate | servesStation |
P839
|
FINISHED |
| Object |
Catalinas
Catalinas is a station on the Buenos Aires Underground, located in the central business district near the Catalinas Norte office complex.
|
E731438
|
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: Catalinas | Statement: [Buenos Aires Underground Line E, servesStation, Catalinas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Catalinas Context triple: [Buenos Aires Underground Line E, servesStation, Catalinas]
-
A.
Catalina
Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
-
B.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
-
C.
Mariposa
Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
-
D.
Cuitiva
Cuitiva is a small town in the Boyacá Department of Colombia, located in the Andean highlands near Lake Tota and known for its rural landscapes and cool climate.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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: Catalinas Triple: [Buenos Aires Underground Line E, servesStation, Catalinas]
Generated description
Catalinas is a station on the Buenos Aires Underground, located in the central business district near the Catalinas Norte office complex.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Catalinas Target entity description: Catalinas is a station on the Buenos Aires Underground, located in the central business district near the Catalinas Norte office complex.
-
A.
Catalina
Catalina is a feminine given name used in various Romance-language cultures, often considered a form of Catherine.
-
B.
Chaguanas
Chaguanas is a rapidly growing commercial and residential hub on the island of Trinidad, known for its bustling markets and diverse population.
-
C.
Mariposa
Mariposa is a small historic town in central California known for its Gold Rush heritage and proximity to Yosemite National Park.
-
D.
Cuitiva
Cuitiva is a small town in the Boyacá Department of Colombia, located in the Andean highlands near Lake Tota and known for its rural landscapes and cool climate.
-
E.
Cáqueza
Cáqueza is a small municipality and town in the Andean region of central Colombia, known for its rural landscapes and proximity to Bogotá in the department of Cundinamarca.
- 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_69ca8310df9c8190b25f16161cca3e41 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb8315a8a8819097f6da11b909b527 |
completed | March 31, 2026, 8:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce030dccf08190a70c0abf0bdcf244 |
completed | April 2, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_69ce07808098819087e896b87320aefd |
completed | April 2, 2026, 6:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce08759e1c81909c96caf3b571e1ca |
completed | April 2, 2026, 6:11 a.m. |
Created at: March 30, 2026, 6:05 p.m.