Triple
T13951287
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guarujá |
E335529
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object |
Praia Preta
Praia Preta is a beach located in the coastal city of Guarujá in the state of São Paulo, Brazil.
|
E1071515
|
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: Praia Preta | Statement: [Guarujá, hasBeach, Praia Preta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praia Preta Context triple: [Guarujá, hasBeach, Praia Preta]
-
A.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
B.
Brejo Grande
Brejo Grande is a small coastal municipality in the Brazilian state of Sergipe, known for its location at the mouth of the São Francisco River.
-
C.
Praia Grande
Praia Grande is a coastal city in southeastern Brazil known for its extensive urban beaches and role as a major seaside destination in the state of São Paulo.
-
D.
Praia Grande
Praia Grande is a popular Atlantic beach in the Sintra region of Portugal, known for its long sandy shoreline, strong surf, and scenic cliffs.
-
E.
Praia Grande
Praia Grande is a popular sandy beach near the village of Ferragudo in Portugal’s Algarve region, known for its calm waters and family-friendly atmosphere.
- 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: Praia Preta Triple: [Guarujá, hasBeach, Praia Preta]
Generated description
Praia Preta is a beach located in the coastal city of Guarujá in the state of São Paulo, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Praia Preta Target entity description: Praia Preta is a beach located in the coastal city of Guarujá in the state of São Paulo, Brazil.
-
A.
Areia Branca
Areia Branca is a municipality in the Brazilian state of Sergipe, known for its rural landscape and location along the Sergipe River.
-
B.
Brejo Grande
Brejo Grande is a small coastal municipality in the Brazilian state of Sergipe, known for its location at the mouth of the São Francisco River.
-
C.
Praia Grande
Praia Grande is a coastal city in southeastern Brazil known for its extensive urban beaches and role as a major seaside destination in the state of São Paulo.
-
D.
Praia Grande
Praia Grande is a popular sandy beach near the village of Ferragudo in Portugal’s Algarve region, known for its calm waters and family-friendly atmosphere.
-
E.
Praia Grande
Praia Grande is a popular Atlantic beach in the Sintra region of Portugal, known for its long sandy shoreline, strong surf, and scenic 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e131c608190b4ffdbada24a3208 |
completed | April 14, 2026, 12:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1cca84881909c7733bbc2609eea |
completed | May 6, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_69fba6af4ed881908cb4b79cfa40977c |
completed | May 6, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fba71a91fc8190b24185994673b33b |
completed | May 6, 2026, 8:39 p.m. |
Created at: April 9, 2026, 10:17 p.m.