Triple
T5976112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Guabiraba |
E132996
|
entity |
| Predicate | locatedInRegion |
P40
|
FINISHED |
| Object | Norte do Recife |
E135136
|
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: Norte do Recife | Statement: [Guabiraba, locatedInRegion, Norte do Recife]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norte do Recife Context triple: [Guabiraba, locatedInRegion, Norte do Recife]
-
A.
Limoeiro do Norte
Limoeiro do Norte is a municipality in northeastern Brazil known for its agricultural production and location in the state of Ceará.
-
B.
Petrolina
Petrolina is a major city in northeastern Brazil known for its irrigated fruit production and location along the São Francisco River.
-
C.
Vitória de Santo Antão
Vitória de Santo Antão is a municipality in northeastern Brazil known for its sugarcane-based economy, cachaça production, and colonial-era heritage.
-
D.
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.
-
E.
Boa Viagem
chosen
Boa Viagem is a famous beachfront neighborhood in Recife, Brazil, known for its long urban beach, high-rise skyline, and vibrant tourist scene.
- 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_69c04a3b41248190b259409f8ebb9e09 |
completed | March 22, 2026, 7:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0e4184a708190a9e4fe8453463a4b |
completed | March 23, 2026, 6:56 a.m. |
Created at: March 22, 2026, 4:04 p.m.