Triple
T11942099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | São Paulo metropolitan area |
E284201
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Mauá |
E293505
|
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: Mauá | Statement: [São Paulo metropolitan area, hasMunicipality, Mauá]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mauá Context triple: [São Paulo metropolitan area, hasMunicipality, Mauá]
-
A.
Mauá
chosen
Mauá is an industrial and residential city located in the metropolitan region of São Paulo, Brazil.
-
B.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
C.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
D.
Caicó
Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
-
E.
Parangolé
Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
- 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_69d6ab2db38c8190b1f0ed6663ef8ada |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90342bb908190a019ac91a2b82f3d |
completed | April 10, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f471ba7fd88190909596e6e01e8714 |
completed | May 1, 2026, 9:26 a.m. |
Created at: April 8, 2026, 9:45 p.m.