Triple
T5976708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agreste |
E133018
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Zona da Mata |
E137929
|
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: Zona da Mata | Statement: [Agreste, borderedBy, Zona da Mata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zona da Mata Context triple: [Agreste, borderedBy, Zona da Mata]
-
A.
Zona da Mata
chosen
Zona da Mata is a humid, forested coastal region in the Brazilian state of Pernambuco, historically known for its sugarcane plantations and Atlantic Forest remnants.
-
B.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
-
C.
Panarima
Panarima is a musical track featured on the album "Legend of the Sun Virgin."
-
D.
Combarbalá
Combarbalá is a small Chilean town and municipality in the Coquimbo Region, known for its semi-arid landscapes, goat farming, and distinctive combarbalite stone crafts.
-
E.
Ciluba
Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
- 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_69c0086f45e8819098f73dd16d45ec9d |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c04a3cffb08190a764a404a4ce5812 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c10847cdec81908a4d2d19d8a53d1d |
completed | March 23, 2026, 9:30 a.m. |
Created at: March 22, 2026, 4:04 p.m.