Triple
T22143866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife metropolitan region |
E547234
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Araçoiaba
Araçoiaba is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan region.
|
E1521999
|
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: Araçoiaba | Statement: [Recife metropolitan region, hasMunicipality, Araçoiaba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Araçoiaba Context triple: [Recife metropolitan region, hasMunicipality, Araçoiaba]
-
A.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
B.
Araricá
Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
E.
Itacoatiara
Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
- 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: Araçoiaba Triple: [Recife metropolitan region, hasMunicipality, Araçoiaba]
Generated description
Araçoiaba is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Araçoiaba Target entity description: Araçoiaba is a municipality in the Brazilian state of Pernambuco that forms part of the Recife metropolitan region.
-
A.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
B.
Araricá
Araricá is a small municipality in the state of Rio Grande do Sul, Brazil, known for its rural character and integration into the Porto Alegre metropolitan region.
-
C.
Putijarra
Putijarra is an Australian Aboriginal language traditionally spoken by the Martu people of the Western Desert region.
-
D.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
E.
Itacoatiara
Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129c045448190b3d189cdb8c0d2fd |
completed | April 28, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a96fe404481908a6b27dcf1406dfb |
completed | May 18, 2026, 4:35 a.m. |
| NEDg | Description generation | batch_6a0a97e509a88190a7f316cf340d010a |
completed | May 18, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a987daa208190bab5b7adec1913e8 |
completed | May 18, 2026, 4:41 a.m. |
Created at: April 16, 2026, 8:32 p.m.