Triple
T8003384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juazeiro do Norte |
E186305
|
entity |
| Predicate | locatedInMicroregion |
P64798
|
FINISHED |
| Object | Cariri |
E572025
|
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: Cariri | Statement: [Juazeiro do Norte, locatedInMicroregion, Cariri]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cariri Context triple: [Juazeiro do Norte, locatedInMicroregion, Cariri]
-
A.
Cariri
chosen
Cariri is a microregion in the state of Ceará, Brazil, known for its cultural heritage, religious tourism, and distinctive semi-arid landscapes.
-
B.
Parnamirim
Parnamirim is a rapidly growing city in northeastern Brazil known for its proximity to Natal and its historical role in World War II aviation.
-
C.
Caucaia
Caucaia is a coastal municipality in northeastern Brazil known for its beaches and proximity to the state capital, Fortaleza.
-
D.
Santana de Parnaíba
Santana de Parnaíba is a historic municipality in the São Paulo metropolitan region of Brazil, known for its well-preserved colonial architecture and cultural heritage.
-
E.
Petrolina
Petrolina is a major city in northeastern Brazil known for its irrigated fruit production and location along the São Francisco River.
- 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_69ca82aaaf24819084b94d18f699ba53 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3cf443e48190ac9e83343ff4019e |
completed | March 31, 2026, 3:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe121b0ac81908b9da58cf14c8df5 |
completed | March 31, 2026, 2:58 p.m. |
Created at: March 30, 2026, 5:18 p.m.