Triple
T2720414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of São Paulo |
E60066
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Cotia
Cotia is a municipality in the metropolitan region of São Paulo, Brazil, known for its residential areas, green spaces, and proximity to the capital city.
|
E329369
|
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: Cotia | Statement: [State of São Paulo, hasCity, Cotia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cotia Context triple: [State of São Paulo, hasCity, Cotia]
-
A.
Itaquaquecetuba
Itaquaquecetuba is a municipality in the Greater São Paulo metropolitan area of southeastern Brazil, known for its rapid urban growth and industrial activity.
-
B.
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.
-
C.
Limeira
Limeira is a municipality in the interior of the Brazilian state of São Paulo, known for its industrial activity and history in the jewelry and citrus sectors.
-
D.
Jacareí
Jacareí is a municipality in southeastern Brazil known as part of the industrial and technological corridor within the state of São Paulo.
-
E.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
- 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: Cotia Triple: [State of São Paulo, hasCity, Cotia]
Generated description
Cotia is a municipality in the metropolitan region of São Paulo, Brazil, known for its residential areas, green spaces, and proximity to the capital city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cotia Target entity description: Cotia is a municipality in the metropolitan region of São Paulo, Brazil, known for its residential areas, green spaces, and proximity to the capital city.
-
A.
Itaquaquecetuba
Itaquaquecetuba is a municipality in the Greater São Paulo metropolitan area of southeastern Brazil, known for its rapid urban growth and industrial activity.
-
B.
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.
-
C.
Limeira
Limeira is a municipality in the interior of the Brazilian state of São Paulo, known for its industrial activity and history in the jewelry and citrus sectors.
-
D.
Jacareí
Jacareí is a municipality in southeastern Brazil known as part of the industrial and technological corridor within the state of São Paulo.
-
E.
Santo Amaro
Santo Amaro is a central neighborhood in Recife, Brazil, known for its mix of residential areas, commerce, and important urban infrastructure.
- 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_69b20f26de488190ac6050638278f988 |
completed | March 12, 2026, 12:56 a.m. |
| NEDg | Description generation | batch_69b212d7ec248190a3f55f5efdd85f97 |
completed | March 12, 2026, 1:11 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2134ca9d881908676b9d349767e0d |
completed | March 12, 2026, 1:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.