Triple
T6065428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca (Imbiribeira) |
E135146
|
entity |
| Predicate | hasQualifier |
P13306
|
FINISHED |
| Object | (Imbiribeira) |
E135139
|
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: (Imbiribeira) | Statement: [Ilha do Zeca (Imbiribeira), hasQualifier, (Imbiribeira)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: (Imbiribeira) Context triple: [Ilha do Zeca (Imbiribeira), hasQualifier, (Imbiribeira)]
-
A.
Imbiribeira
chosen
Imbiribeira is a neighborhood in the South Zone of Recife, Brazil, known for its residential areas, commercial activity, and proximity to the city’s main sports and event venues.
-
B.
Ibiray
Ibiray is a locality in Paraguay historically noted as the place where Uruguayan national hero José Gervasio Artigas died in exile.
-
C.
Beberibe
Beberibe is a coastal municipality in northeastern Brazil known for its scenic beaches, sand dunes, and colorful cliffs.
-
D.
Brejo de Beberibe
Brejo de Beberibe is a neighborhood within the city of Recife in the state of Pernambuco, Brazil.
-
E.
Praia de Olhos de Água
Praia de Olhos de Água is a picturesque sandy beach in the Algarve region of southern Portugal, known for its clear waters, rocky cliffs, and traditional fishing village atmosphere.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69c00878d06881909ee78e88913bf890 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573df7508190bbb5b496188b2f3e |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d23dca8819080702ca0f05df5dd |
completed | March 23, 2026, 10:59 a.m. |
Created at: March 22, 2026, 4:10 p.m.