Triple
T19986236
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Costa |
E493937
|
entity |
| Predicate | managedTeam |
P3234
|
FINISHED |
| Object | Arouca |
—
|
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: Arouca | Statement: [Jorge Costa, managedTeam, Arouca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arouca Context triple: [Jorge Costa, managedTeam, Arouca]
-
A.
Arouca
Arouca is a town in Trinidad and Tobago’s Northern Range region, known as a residential community with access to major transport routes and nearby natural attractions.
-
B.
Arouca
chosen
Arouca is a professional football club based in Arouca, Portugal, that competes in the Portuguese football league system.
-
C.
Coruche
Coruche is a municipality in Portugal’s Santarém District, known for its cork oak forests, rice fields, and traditional rural landscape along the Sorraia River.
-
D.
Tondela
Tondela is a municipality and city in central Portugal known for its historical heritage and proximity to the Caramulo mountain range.
-
E.
Carcavelos
Carcavelos is a coastal town in the Lisbon metropolitan area of Portugal, known for its popular sandy beach and strong surfing conditions along the Estoril coastline.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d16f60c81909ba02c0a3429ecae |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:29 p.m.