Triple
T18316754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazonas (Brazilian state) |
E438768
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Manacapuru |
—
|
NE NERFINISHED |
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: Manacapuru | Statement: [Amazonas (Brazilian state), hasMajorCity, Manacapuru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Manacapuru Context triple: [Amazonas (Brazilian state), hasMajorCity, Manacapuru]
-
A.
Manacapuru
chosen
Manacapuru is a Brazilian city in the state of Amazonas, located near Manaus along the Amazon River and known as a regional commercial and ecological hub.
-
B.
Aquiraz
Aquiraz is a coastal municipality in the Brazilian state of Ceará known for its beaches, historical colonial architecture, and tourism attractions.
-
C.
Camaçari
Camaçari is an industrial city in the state of Bahia, Brazil, known for hosting one of the largest petrochemical complexes in the Southern Hemisphere.
-
D.
Vitória da Conquista
Vitória da Conquista is a major inland city in the state of Bahia, Brazil, known as a regional commercial, educational, and services hub in the country’s Northeast.
-
E.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b916a2d081909e249e4902f6aad9 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5021e61008190a300b6c51976a837 |
completed | April 19, 2026, 4:26 p.m. |
Created at: April 10, 2026, 10:36 a.m.