Triple
T12717824
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Várzea Paulista |
E303893
|
entity |
| Predicate | ISO3166-2 |
P189
|
FINISHED |
| Object | BR-SP |
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: BR-SP | Statement: [Várzea Paulista, ISO3166-2, BR-SP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BR-SP Context triple: [Várzea Paulista, ISO3166-2, BR-SP]
-
A.
Sé, São Paulo
Sé, São Paulo is a historic central district of São Paulo, Brazil, known as the city's symbolic heart and home to major landmarks, including the main cathedral and the official city center marker.
-
B.
Guarulhos
Guarulhos is a major city in the São Paulo metropolitan area of Brazil, known as an important industrial and logistics hub.
-
C.
São Paulo
chosen
São Paulo is Brazil’s largest city and a major global financial, cultural, and industrial center in South America.
-
D.
Butantã, São Paulo
Butantã is a district in western São Paulo best known for hosting the main campus of the University of São Paulo and several major research and cultural institutions.
-
E.
Mogi das Cruzes
Mogi das Cruzes is a municipality in southeastern Brazil known as part of the Greater São Paulo metropolitan area and recognized for its industrial activity and agricultural production.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d9620bd6148190a2f50067a4c18c14 |
completed | April 10, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f671bcc10481909f150989f9545752 |
completed | May 2, 2026, 9:50 p.m. |
Created at: April 9, 2026, 5:23 p.m.