Triple
T11795716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novo Hamburgo |
E280500
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Santo Afonso
Santo Afonso is a residential district within the city of Novo Hamburgo in the state of Rio Grande do Sul, Brazil.
|
E947064
|
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: Santo Afonso | Statement: [Novo Hamburgo, hasDistrict, Santo Afonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Santo Afonso Context triple: [Novo Hamburgo, hasDistrict, Santo Afonso]
-
A.
Santo Antônio
Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
-
B.
Santa Luzia
Santa Luzia is a small fishing village in Portugal’s Algarve region, known for its traditional octopus fishing and tranquil coastal atmosphere.
-
C.
Santa Luzia
Santa Luzia is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
D.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
E.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
- 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: Santo Afonso Triple: [Novo Hamburgo, hasDistrict, Santo Afonso]
Generated description
Santo Afonso is a residential district within the city of Novo Hamburgo in the state of Rio Grande do Sul, Brazil.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Santo Afonso Target entity description: Santo Afonso is a residential district within the city of Novo Hamburgo in the state of Rio Grande do Sul, Brazil.
-
A.
Santo Antônio
Santo Antônio is a historic central neighborhood of Recife, Brazil, known for its colonial architecture, commercial activity, and cultural landmarks.
-
B.
Santa Luzia
Santa Luzia is a small fishing village in Portugal’s Algarve region, known for its traditional octopus fishing and tranquil coastal atmosphere.
-
C.
Santa Luzia
Santa Luzia is a civil parish within the municipality of Angra do Heroísmo on Terceira Island in Portugal’s Azores archipelago.
-
D.
Conceição
Conceição is a civil parish located on Faial Island in the Azores archipelago of Portugal.
-
E.
San-São
San-São is the traditional Brazilian football derby between São Paulo FC and Santos FC, known for its historic rivalries and memorable matches.
- 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_69d8a5a1cda0819092d66a82fd882786 |
completed | April 10, 2026, 7:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f0911c2a40819088079fc286e4dc67 |
completed | April 28, 2026, 10:51 a.m. |
| NEDg | Description generation | batch_69f0bd40108c8190863a60cf01cc7201 |
completed | April 28, 2026, 1:59 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f0ef7e9f388190b33f6c16abadfde9 |
completed | April 28, 2026, 5:33 p.m. |
Created at: April 8, 2026, 9:42 p.m.