Triple
T21020772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Lorenzo de Almagro |
E517799
|
entity |
| Predicate | foundingLocation |
P40
|
FINISHED |
| Object | Almagro, Buenos Aires, Argentina |
—
|
NE NERFINISHED |
How this triple was built (3 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: Almagro, Buenos Aires, Argentina | Statement: [San Lorenzo de Almagro, foundingLocation, Almagro, Buenos Aires, Argentina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Almagro, Buenos Aires, Argentina Context triple: [San Lorenzo de Almagro, foundingLocation, Almagro, Buenos Aires, Argentina]
-
A.
Luján, Buenos Aires
Luján, Buenos Aires is an Argentine city renowned as a major Catholic pilgrimage center, home to the Basilica of Our Lady of Luján.
-
B.
Belgrano, Buenos Aires, Argentina
Belgrano is an affluent residential neighborhood in the northern part of Buenos Aires, Argentina, known for its leafy streets, historic architecture, and commercial avenues.
-
C.
Núñez, Buenos Aires
Núñez, Buenos Aires is a residential and commercial neighborhood in the northern part of Argentina’s capital city, known for hosting the River Plate football club’s stadium and facilities.
-
D.
San Martín, Buenos Aires, Argentina
San Martín is a city in the Greater Buenos Aires metropolitan area of Argentina, known as an important industrial and residential hub in the Buenos Aires Province.
-
E.
Campana, Buenos Aires
Campana is an industrial port city in the Buenos Aires Province of Argentina, located on the Paraná River northwest of Buenos Aires city.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Almagro, Buenos Aires, Argentina Target entity description: Almagro is a traditional middle-class neighborhood in central Buenos Aires, Argentina, known for its historic tango culture, dense urban character, and strong football identity.
-
A.
Luján, Buenos Aires
Luján, Buenos Aires is an Argentine city renowned as a major Catholic pilgrimage center, home to the Basilica of Our Lady of Luján.
-
B.
Belgrano, Buenos Aires, Argentina
Belgrano is an affluent residential neighborhood in the northern part of Buenos Aires, Argentina, known for its leafy streets, historic architecture, and commercial avenues.
-
C.
Núñez, Buenos Aires
Núñez, Buenos Aires is a residential and commercial neighborhood in the northern part of Argentina’s capital city, known for hosting the River Plate football club’s stadium and facilities.
-
D.
San Martín, Buenos Aires, Argentina
San Martín is a city in the Greater Buenos Aires metropolitan area of Argentina, known as an important industrial and residential hub in the Buenos Aires Province.
-
E.
Campana, Buenos Aires
Campana is an industrial port city in the Buenos Aires Province of Argentina, located on the Paraná River northwest of Buenos Aires city.
- F. None of above. chosen
Provenance (2 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_69e0b50262b081909bc488937145eb73 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc5c905c8190ba2f9f82b6cd1648 |
completed | April 21, 2026, 4:26 a.m. |
Created at: April 16, 2026, 1:54 p.m.