Triple
T8788594
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vascão |
E209103
|
entity |
| Predicate | derivesFrom |
P909
|
FINISHED |
| Object | Vasco |
E41234
|
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: Vasco | Statement: [Vascão, derivesFrom, Vasco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vasco Context triple: [Vascão, derivesFrom, Vasco]
-
A.
Santos
Santos is a common Portuguese surname shared by numerous notable figures in politics, sports, and the arts across Portuguese-speaking countries.
-
B.
Santos
Santos is a major Brazilian port city on the coast of São Paulo state, known for its extensive coffee export history and popular beachfront.
-
C.
Portuguesa Santista
Portuguesa Santista is a Brazilian football club based in Santos, São Paulo, known for its youth development and regional tradition.
-
D.
Curaco de Vélez
Curaco de Vélez is a small coastal town and commune in southern Chile’s Chiloé Archipelago, known for its traditional Chilote culture and wooden architecture.
-
E.
CR Vasco da Gama
chosen
CR Vasco da Gama is a traditional and historically successful Brazilian football club based in Rio de Janeiro, known for its passionate fanbase and significant role in the country’s sporting culture.
- 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f89a84c819085d4cfe4e6dfbda8 |
completed | March 31, 2026, 11:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf5210454c8190aa83d941893a4bc5 |
completed | April 3, 2026, 5:37 a.m. |
Created at: March 30, 2026, 6:43 p.m.