Triple
T22143885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife metropolitan region |
E547234
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Itambé
Itambé is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
|
E1522012
|
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: Itambé | Statement: [Recife metropolitan region, hasMunicipality, Itambé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itambé Context triple: [Recife metropolitan region, hasMunicipality, Itambé]
-
A.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
B.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
-
C.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
D.
Parangolé
Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
-
E.
Garupá
Garupá is a town in northeastern Argentina’s Misiones Province that forms part of the greater Posadas urban and commuter area.
- 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: Itambé Triple: [Recife metropolitan region, hasMunicipality, Itambé]
Generated description
Itambé is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Itambé Target entity description: Itambé is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
-
A.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
B.
Orocué
Orocué is a small Colombian town and municipality located in the eastern plains region, known for its cattle ranching and proximity to the Meta River.
-
C.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
-
D.
Parangolé
Parangolé is a series of wearable, participatory artworks by Brazilian artist Hélio Oiticica that merge sculpture, performance, and viewer interaction to challenge traditional notions of art and spectatorship.
-
E.
Garupá
Garupá is a town in northeastern Argentina’s Misiones Province that forms part of the greater Posadas urban and commuter area.
- 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.