Triple
T3715204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2016 Summer Olympics women's football tournament |
E81510
|
entity |
| Predicate | hostCity |
P1798
|
FINISHED |
| Object | São Paulo |
E9033
|
NE FINISHED |
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: São Paulo | Statement: [2016 Summer Olympics women's football tournament, hostCity, São Paulo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: São Paulo Context triple: [2016 Summer Olympics women's football tournament, hostCity, São Paulo]
-
A.
São Paulo
chosen
São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
-
B.
Belo Horizonte
Belo Horizonte is the capital and largest city of the Brazilian state of Minas Gerais, known for its modernist architecture, surrounding mountains, and vibrant cultural and economic life.
-
C.
Guarulhos
Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
-
D.
San Pablo
San Pablo is a city in the province of Laguna in the Philippines, known for its seven crater lakes and role as a commercial and cultural hub in the Southern Tagalog region.
-
E.
São Paulo metropolitan area
The São Paulo metropolitan area is Brazil’s largest and most populous urban agglomeration, encompassing the city of São Paulo and numerous surrounding municipalities that form a major economic and cultural hub in Latin America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b511f37d188190b5604645960e3f11 |
completed | March 14, 2026, 7:44 a.m. |
Created at: March 8, 2026, 3:33 p.m.