Triple
T6319601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca (Jordão) |
E141703
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Ilha do Zeca, Jordão |
E141703
|
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, Jordão | Statement: [Ilha do Zeca (Jordão), hasAlternativeName, Ilha do Zeca, Jordão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ilha do Zeca, Jordão Context triple: [Ilha do Zeca (Jordão), hasAlternativeName, Ilha do Zeca, Jordão]
-
A.
Ilha do Zeca (Jordão)
chosen
Ilha do Zeca (Jordão) is a small island area located within the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Ilha do Zeca (Engenho Novo)
Ilha do Zeca (Engenho Novo) is a small island locality within the city of Recife, in the state of Pernambuco, Brazil.
-
C.
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.
-
D.
Ilha do Zeca (Barro)
Ilha do Zeca (Barro) is a small island area within the city of Recife, Brazil, associated with the Barro neighborhood.
-
E.
Ilha do Zeca (Engenho do Meio)
Ilha do Zeca (Engenho do Meio) is a locality within the city of Recife, in the state of Pernambuco, Brazil.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c4ed7c8190bd066dc7cd3d1329 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5e48485308190adc2208ad46faaa7 |
completed | March 27, 2026, 1:59 a.m. |
Created at: March 22, 2026, 4:29 p.m.