Triple
T22995817
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metrô do Recife |
E572186
|
entity |
| Predicate | cityServed |
P82
|
FINISHED |
| Object | Camaragibe |
—
|
NE NERFINISHED |
How this triple was built (2 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: Camaragibe | Statement: [Metrô do Recife, cityServed, Camaragibe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camaragibe Context triple: [Metrô do Recife, cityServed, Camaragibe]
-
A.
Camaragibe
chosen
Camaragibe is a municipality in the state of Pernambuco, Brazil, known as part of the urban area surrounding the city of Recife.
-
B.
Olinda
Olinda is a historic coastal city in northeastern Brazil renowned for its well-preserved colonial architecture and vibrant Carnival celebrations.
-
C.
Maicao
Maicao is a Colombian border city in the northeastern La Guajira region, known as a major commercial hub with significant Arab and Wayuu indigenous communities.
-
D.
Guaraciaba do Norte
Guaraciaba do Norte is a municipality in the state of Ceará in northeastern Brazil, known for its location in the Ibiapaba highlands and its mild, elevated climate.
-
E.
Riohacha
Riohacha is a coastal city in northern Colombia and the capital of La Guajira Department, known for its Caribbean beaches and Wayuu indigenous culture.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182f3186c81909e0d5177029a72ae |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:50 p.m.