Triple
T6897821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilha do Zeca (Engenho do Meio) |
E159415
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Engenho do Meio |
E148139
|
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: Engenho do Meio | Statement: [Ilha do Zeca (Engenho do Meio), partOf, Engenho do Meio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engenho do Meio Context triple: [Ilha do Zeca (Engenho do Meio), partOf, Engenho do Meio]
-
A.
Engenho do Meio
chosen
Engenho do Meio is a neighborhood located in the city of Recife, in the state of Pernambuco, Brazil.
-
B.
Afogados
Afogados is a populous neighborhood in the Brazilian city of Recife, known for its busy commercial areas and dense urban character.
-
C.
Dandara dos Palmares
Dandara dos Palmares was a 17th-century Afro-Brazilian warrior and leader who played a key role in the resistance against slavery in the Quilombo dos Palmares.
-
D.
Barão de São João
Barão de São João is a small village and former civil parish in the municipality of Lagos, in Portugal’s Algarve region, known for its rural character and surrounding natural landscapes.
-
E.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
- 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_69c6883822e0819091e321526f20ae0a |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6d95c44a48190876d62749411bbb6 |
completed | March 27, 2026, 7:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748e5182c81908ed01d1091933d09 |
completed | March 28, 2026, 3:20 a.m. |
Created at: March 27, 2026, 2:24 p.m.