Triple
T22989921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brazil national under-20 football team |
E572017
|
entity |
| Predicate | fifaTrigramme |
P6278
|
FINISHED |
| Object | BRA |
—
|
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: BRA | Statement: [Brazil national under-20 football team, fifaTrigramme, BRA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: BRA Context triple: [Brazil national under-20 football team, fifaTrigramme, BRA]
-
A.
BRA
BRA is the commonly used acronym for the Boston Redevelopment Authority, the urban planning and economic development agency for the city of Boston.
-
B.
BRA
chosen
BRA is the three-letter ISO 3166-1 alpha-3 country code that uniquely identifies Brazil in international standards and data systems.
-
C.
BRA
BRA is a Swedish regional airline operating domestic and short-haul European flights, known for serving smaller airports and business travelers.
-
D.
BR
BR is the IATA airline designator for EVA Air, a major Taiwanese international carrier based in Taoyuan.
-
E.
BR
BR is a postcode area in southeast London and parts of northwest Kent, covering towns such as Bromley and Beckenham.
- 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_69e245b535808190adef8a9df3c584db |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182ee3afc819099fbc6bef0b83bd5 |
completed | April 29, 2026, 4:02 a.m. |
Created at: April 17, 2026, 3:49 p.m.