Triple
T22143883
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife metropolitan region |
E547234
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object |
Ferreiros
Ferreiros is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
|
E1522011
|
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: Ferreiros | Statement: [Recife metropolitan region, hasMunicipality, Ferreiros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ferreiros Context triple: [Recife metropolitan region, hasMunicipality, Ferreiros]
-
A.
Oleiros
Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
-
B.
Oleiros
Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
-
C.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
D.
Ferrería
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
-
E.
Cilleros
Cilleros is a small rural municipality in western Spain’s Extremadura region, known for its traditional architecture, olive groves, and location in the scenic Sierra de Gata 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: Ferreiros Triple: [Recife metropolitan region, hasMunicipality, Ferreiros]
Generated description
Ferreiros 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: Ferreiros Target entity description: Ferreiros is a municipality in the state of Pernambuco, Brazil, that forms part of the Recife metropolitan area.
-
A.
Oleiros
Oleiros is a municipality in central Portugal known for its rural landscapes, traditional villages, and forested mountain scenery.
-
B.
Oleiros
Oleiros is a coastal municipality in northwestern Spain known for its residential areas, beaches, and proximity to the city of A Coruña in Galicia.
-
C.
Feteiras
Feteiras is a civil parish in the municipality of Ponta Delgada on São Miguel Island in the Azores, Portugal.
-
D.
Ferrería
Ferrería is a Mexico City Metro station on the city's Line 6 that serves the Azcapotzalco area and provides access to nearby venues such as the Arena Ciudad de México.
-
E.
Cilleros
Cilleros is a small rural municipality in western Spain’s Extremadura region, known for its traditional architecture, olive groves, and location in the scenic Sierra de Gata 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.