Triple
T1169960
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
|
E137924
|
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: Afogados | Statement: [Recife, hasPart, Afogados]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Afogados Context triple: [Recife, hasPart, Afogados]
-
A.
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.
-
B.
Currais Novos
Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
-
C.
Graça
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
D.
Pau dos Ferros
Pau dos Ferros is a municipality in the interior of Brazil’s Rio Grande do Norte state, known as a regional commercial and educational hub in the Alto Oeste Potiguar region.
-
E.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
- 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: Afogados Triple: [Recife, hasPart, Afogados]
Generated description
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Afogados Target entity description: Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
A.
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.
-
B.
Currais Novos
Currais Novos is a municipality in the interior of the Brazilian state of Rio Grande do Norte, known for its semi-arid climate, livestock farming, and mineral resources.
-
C.
Graça
Graça is a historic hilltop neighborhood in Lisbon, Portugal, known for its traditional streets, viewpoints over the city, and classic tram connections.
-
D.
Pau dos Ferros
Pau dos Ferros is a municipality in the interior of Brazil’s Rio Grande do Norte state, known as a regional commercial and educational hub in the Alto Oeste Potiguar region.
-
E.
Chiado
Chiado is a historic and upscale neighborhood in central Lisbon known for its elegant shops, cafés, theaters, and literary heritage.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce821b481908bc278a3fa7973f4 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f323bbc8190a55fe2101f9561e2 |
completed | March 7, 2026, 7:40 p.m. |
| NEDg | Description generation | batch_69ac7fa90f608190bec0c7dff1d7c9ae |
completed | March 7, 2026, 7:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac808a919081908253d1778695ab2d |
completed | March 7, 2026, 7:46 p.m. |
Created at: March 1, 2026, 7:45 p.m.