Triple
T5976709
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agreste |
E133018
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Sertão |
E534369
|
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: Sertão | Statement: [Agreste, borderedBy, Sertão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sertão Context triple: [Agreste, borderedBy, Sertão]
-
A.
Sertão Sergipano
Sertão Sergipano is the semi-arid hinterland region of the Brazilian state of Sergipe, characterized by dry climate, caatinga vegetation, and traditional rural communities.
-
B.
Brazilian semi-arid region
chosen
The Brazilian semi-arid region is a vast, predominantly dry area in northeastern Brazil characterized by low and irregular rainfall, caatinga vegetation, and frequent droughts.
-
C.
Seridó Oriental
Seridó Oriental is a microregion in the state of Rio Grande do Norte, Brazil, known for its semi-arid landscape and cultural traditions linked to the Seridó hinterland.
-
D.
Caieiras
Caieiras is a municipality in the metropolitan region of São Paulo, Brazil, known for its industrial activity and surrounding green areas.
-
E.
Mineirão
Mineirão is a major football stadium in Belo Horizonte, Brazil, known for hosting prominent international matches and tournaments.
- 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.