Triple
T17106757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baixada Santista |
E415119
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Itanhaém |
E360138
|
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: Itanhaém | Statement: [Baixada Santista, containsCity, Itanhaém]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itanhaém Context triple: [Baixada Santista, containsCity, Itanhaém]
-
A.
Itanhaém
chosen
Itanhaém is a coastal municipality in southeastern Brazil known for its beaches, historic colonial center, and tourism along the São Paulo state shoreline.
-
B.
Cumbuco
Cumbuco is a coastal village in northeastern Brazil known for its sand dunes, lagoons, and strong winds that make it a popular destination for kitesurfing and other beach tourism.
-
C.
Duas Barras
Duas Barras is a small municipality in the mountainous interior of Rio de Janeiro state in southeastern Brazil.
-
D.
Mogi Guaçu
Mogi Guaçu is a municipality in the interior of Brazil’s São Paulo state, known for its industrial activity and the Mogi Guaçu River that runs through it.
-
E.
Cubatão
Cubatão is an industrial city in southeastern Brazil known for its major petrochemical and steel complexes and its location near the port of Santos in the state of São Paulo.
- 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dc2750b481908de18e8cb8f2195c |
completed | April 18, 2026, 7:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01482766508190b2af157bf039000d |
completed | May 11, 2026, 3:08 a.m. |
Created at: April 10, 2026, 5:35 a.m.