Triple
T11087832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vitória |
E262167
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Vitória |
E231773
|
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: Vitória | Statement: [Vitória, shortName, Vitória]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vitória Context triple: [Vitória, shortName, Vitória]
-
A.
Vitória
chosen
Vitória is the capital city of the Brazilian state of Espírito Santo, known for its coastal setting, port activities, and surrounding islands.
-
B.
Vitória
Vitória is a traditional Brazilian football club from Salvador, Bahia, best known for its intense local rivalry with Esporte Clube Bahia in the Ba–Vi derby.
-
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.
Limeira
Limeira is a municipality in the interior of the Brazilian state of São Paulo, known for its industrial activity and history in the jewelry and citrus sectors.
-
E.
Botucatu
Botucatu is a municipality in southeastern Brazil known for its higher-education institutions, especially São Paulo State University (UNESP), and its surrounding sandstone cliffs and natural landscapes.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799c5008081908f59612243fa4f7a |
completed | April 9, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3e7b68ca88190a26ee54eb873c9cf |
completed | April 18, 2026, 8:21 p.m. |
Created at: April 8, 2026, 9:27 p.m.