Triple
T23355629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Zone of Recife |
E593038
|
entity |
| Predicate | containsNeighborhood |
P4813
|
FINISHED |
| Object | Areias |
—
|
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: Areias | Statement: [West Zone of Recife, containsNeighborhood, Areias]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Areias Context triple: [West Zone of Recife, containsNeighborhood, Areias]
-
A.
Areias
chosen
Areias is a neighborhood within the city of Recife, Brazil, known as part of its urban residential area.
-
B.
Paranhos
Paranhos is a civil parish in the city of Porto, Portugal, known for its residential areas and several university and hospital facilities.
-
C.
Areia
Areia is a historic colonial-era city in the Brazilian state of Paraíba, known for its preserved architecture and cultural heritage.
-
D.
Pedreiras
Pedreiras is a civil parish located within the municipality of Porto de Mós in central Portugal.
-
E.
Parea
Parea is a small coastal village on the island of Huahine in French Polynesia, known for its tranquil beaches and traditional Polynesian atmosphere.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a176b548190bf5a08bb2585344d |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:26 p.m.