Triple
T6217579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bertioga |
E139027
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object |
Biritiba Mirim
Biritiba Mirim is a small municipality in the state of São Paulo, Brazil, known for its rural character and proximity to the Atlantic Forest.
|
E580462
|
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: Biritiba Mirim | Statement: [Bertioga, borderedBy, Biritiba Mirim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biritiba Mirim Context triple: [Bertioga, borderedBy, Biritiba Mirim]
-
A.
Piquinho
Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
-
B.
Quixeramobim
Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
-
C.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
D.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
E.
Beberibe
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
- 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: Biritiba Mirim Triple: [Bertioga, borderedBy, Biritiba Mirim]
Generated description
Biritiba Mirim is a small municipality in the state of São Paulo, Brazil, known for its rural character and proximity to the Atlantic Forest.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biritiba Mirim Target entity description: Biritiba Mirim is a small municipality in the state of São Paulo, Brazil, known for its rural character and proximity to the Atlantic Forest.
-
A.
Piquinho
Piquinho is the prominent summit cone at the top of Mount Pico in the Azores, known as the highest point in Portugal.
-
B.
Quixeramobim
Quixeramobim is a municipality in northeastern Brazil known for its semi-arid landscape and agricultural activities within the state of Ceará.
-
C.
Guapimirim
Guapimirim is a municipality in the state of Rio de Janeiro, Brazil, known for its mountainous landscapes and protected natural areas near Guanabara Bay.
-
D.
Ourinhos
Ourinhos is a municipality in the southwestern part of the state of São Paulo, Brazil, known as a regional commercial and agricultural center.
-
E.
Beberibe
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
- 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_69c008aecb0c81909984b48f733ce8ae |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062a35e308190be25c41b02704411 |
completed | March 22, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c243e998e0819090a2162e2a0ab7b9 |
completed | March 24, 2026, 7:57 a.m. |
| NEDg | Description generation | batch_69c245000c248190b097befc6e3e9909 |
completed | March 24, 2026, 8:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c4fb839b2481909caa57f34a8837db |
completed | March 26, 2026, 9:25 a.m. |
Created at: March 22, 2026, 4:21 p.m.