Triple
T1170039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Recife |
E24891
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Ilha do Zeca (Ibura) |
unclear NED1
|
NE FINISHED |
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: Ilha do Zeca (Ibura) | Statement: [Recife, hasPart, Ilha do Zeca (Ibura)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilha do Zeca (Ibura) Context triple: [Recife, hasPart, Ilha do Zeca (Ibura)]
-
A.
Ilha do Zeca (Imbiribeira)
Ilha do Zeca (Imbiribeira) is a small island neighborhood or locality within the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Ilha do Zeca (Afogados)
Ilha do Zeca (Afogados) is a small riverside community or locality within the Afogados neighborhood of Recife, Brazil.
-
C.
Ilha do Zeca (Zumbi)
Ilha do Zeca (Zumbi) is a small island area within the city of Recife, Brazil, known as part of the city’s network of riverine and coastal communities.
-
D.
Ilha Joana Bezerra
Ilha Joana Bezerra is an island neighborhood within the Brazilian city of Recife, known for its dense urban fabric and proximity to the city’s central areas.
-
E.
Ilha do Zeca (São José do Ribamar)
Ilha do Zeca (São José do Ribamar) is a small island locality associated with the coastal region of Recife in northeastern Brazil.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
Provenance (3 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bce972cc8190bce0b77cfda6da41 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8311ba6481908aaca4c1e9d8b78f |
completed | March 7, 2026, 7:57 p.m. |
Created at: March 1, 2026, 7:45 p.m.