Triple
T2720415
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of São Paulo |
E60066
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Santana de Parnaíba
Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
|
E297770
|
NE FINISHED |
How this triple was built (4 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: Santana de Parnaíba | Statement: [State of São Paulo, hasCity, Santana de Parnaíba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santana de Parnaíba Context triple: [State of São Paulo, hasCity, Santana de Parnaíba]
-
A.
Arapiraca
Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
-
B.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
C.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
D.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
E.
Mengão
Mengão is the popular nickname of Clube de Regatas do Flamengo, one of Brazil’s most successful and widely supported football clubs.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Santana de Parnaíba Triple: [State of São Paulo, hasCity, Santana de Parnaíba]
Generated description
Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santana de Parnaíba Target entity description: Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
-
A.
Arapiraca
Arapiraca is a major city in the Brazilian state of Alagoas, known as an important regional commercial and agricultural center.
-
B.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
C.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
D.
Icó
Icó is a historic municipality in northeastern Brazil known for its colonial architecture and cultural heritage within the state of Ceará.
-
E.
Mengão
Mengão is the popular nickname of Clube de Regatas do Flamengo, one of Brazil’s most successful and widely supported football clubs.
- F. None of above. chosen
Provenance (5 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_69ab4b746d248190958e052045c09255 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdab06d388190acf690787fe58ab5 |
completed | March 7, 2026, 7:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc033d94481908e4709529ab93442 |
completed | March 10, 2026, 6:54 a.m. |
| NEDg | Description generation | batch_69afc11fa5ec8190a0b495f6b71591ab |
completed | March 10, 2026, 6:58 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc1f734dc8190a4861b05583f7018 |
completed | March 10, 2026, 7:02 a.m. |
Created at: March 6, 2026, 9:55 p.m.