Triple
T18028764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bahía Blanca |
E431330
|
entity |
| Predicate | locatedSouthOf |
P9676
|
FINISHED |
| Object | Buenos Aires (city) |
—
|
NE NERFINISHED |
How this triple was built (2 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: Buenos Aires (city) | Statement: [Bahía Blanca, locatedSouthOf, Buenos Aires (city)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buenos Aires (city) Context triple: [Bahía Blanca, locatedSouthOf, Buenos Aires (city)]
-
A.
Buenos Aires
chosen
Buenos Aires is the capital and largest city of Argentina, known for its rich European-influenced culture, tango music and dance, and vibrant urban life.
-
B.
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.
-
C.
Colonia Buenos Aires
Colonia Buenos Aires is a neighborhood located within the Cuauhtémoc borough in central Mexico City.
-
D.
Mar del Plata
Mar del Plata is a major Argentine Atlantic coastal city renowned as a popular beach resort and tourist destination.
-
E.
city of Rosario
The city of Rosario is a major urban center in Argentina, known for its significant port on the Paraná River, vibrant cultural life, and role as an important industrial and commercial hub.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8b9050fb48190890155145deb0a66 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4be332a7081909124abdd98430a8a |
completed | April 19, 2026, 11:36 a.m. |
Created at: April 10, 2026, 10:25 a.m.