Triple
T18316753
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amazonas (Brazilian state) |
E438768
|
entity |
| Predicate | hasMajorCity |
P316
|
FINISHED |
| Object | Itacoatiara |
—
|
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: Itacoatiara | Statement: [Amazonas (Brazilian state), hasMajorCity, Itacoatiara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Itacoatiara Context triple: [Amazonas (Brazilian state), hasMajorCity, Itacoatiara]
-
A.
Itacoatiara
chosen
Itacoatiara is a significant river port city in the Brazilian state of Amazonas, located along the Amazon River and serving as an important regional commercial and transportation hub.
-
B.
Araguaína
Araguaína is a major commercial and economic center in northern Brazil, located in the state of Tocantins.
-
C.
Igaratá
Igaratá is a small municipality in the state of São Paulo, Brazil, known for its rural landscapes and reservoir that attracts tourism and outdoor recreation.
-
D.
Arujá
Arujá is a municipality in the state of São Paulo, Brazil, known for its green areas and residential character within the Greater São Paulo region.
-
E.
Caxangá
Caxangá is a neighborhood and important urban area within the city of Recife, Brazil.
- 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.