Triple
T11786519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of Espírito Santo |
E280282
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Três Pontões
Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
|
E949627
|
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: Três Pontões | Statement: [State of Espírito Santo, contains, Três Pontões]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Três Pontões Context triple: [State of Espírito Santo, contains, Três Pontões]
-
A.
Pontinha
Pontinha is a civil parish in the municipality of Odivelas, within the Lisbon metropolitan area of Portugal.
-
B.
Três Rios
Três Rios is a municipality in the state of Rio de Janeiro, Brazil, known as a regional commercial and logistical hub at the confluence of three rivers.
-
C.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Ponta Grossa
Ponta Grossa is a major industrial and commercial city in the state of Paraná, known as an important regional hub in southern Brazil.
-
E.
Braz de Aviz
Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
- 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: Três Pontões Triple: [State of Espírito Santo, contains, Três Pontões]
Generated description
Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Três Pontões Target entity description: Três Pontões is a locality in the Brazilian state of Espírito Santo, known for its rural landscape and proximity to distinctive rocky formations.
-
A.
Pontinha
Pontinha is a civil parish in the municipality of Odivelas, within the Lisbon metropolitan area of Portugal.
-
B.
Três Rios
Três Rios is a municipality in the state of Rio de Janeiro, Brazil, known as a regional commercial and logistical hub at the confluence of three rivers.
-
C.
Dois Unidos
Dois Unidos is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
D.
Ponta Grossa
Ponta Grossa is a major industrial and commercial city in the state of Paraná, known as an important regional hub in southern Brazil.
-
E.
Braz de Aviz
Braz de Aviz is a Brazilian cardinal of the Roman Catholic Church known for his leadership roles in the Vatican, including as prefect of the Dicastery for Institutes of Consecrated Life and Societies of Apostolic Life.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a586803481909af0032c35ca6e51 |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f166c735008190a73dd74dbcddd182 |
completed | April 29, 2026, 2:02 a.m. |
| NEDg | Description generation | batch_69f16e31ebfc81908255e24b96bf9a99 |
completed | April 29, 2026, 2:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f1a09eae7481908200709ae9721d53 |
completed | April 29, 2026, 6:09 a.m. |
Created at: April 8, 2026, 9:42 p.m.