Triple
T10102893
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Engenhão |
E216245
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Engenhão |
E216245
|
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: Engenhão | Statement: [Engenhão, nickname, Engenhão]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Engenhão Context triple: [Engenhão, nickname, Engenhão]
-
A.
Engenhão
chosen
Engenhão is a multi-purpose stadium in Rio de Janeiro, Brazil, best known as the home ground of Botafogo FR and a venue for major football matches and athletics events.
-
B.
Campinho
Campinho is a small village in the municipality of Reguengos de Monsaraz in Portugal’s Alentejo region.
-
C.
Aleijadinho
Aleijadinho was an influential 18th-century Brazilian sculptor and architect, renowned for his baroque and rococo religious works in colonial Brazil.
-
D.
Roda de Ter
Roda de Ter is a small municipality in the Osona comarca of Catalonia, Spain, known for its historical textile industry and riverside setting along the Ter River.
-
E.
Trincadeira
Trincadeira is a Portuguese red wine grape variety known for producing deeply colored, aromatic wines with spicy, herbal, and red-fruit characteristics, particularly in regions like the Dão and Alentejo.
- 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_69ca83d039f08190b9d10363221c69fb |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cdd09af07c819099774af46ebf62d7 |
completed | April 2, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b6dcca848190851f6f1968fe244c |
completed | April 5, 2026, 7:24 p.m. |
Created at: March 30, 2026, 9:02 p.m.