Triple
T8554487
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campeonato Carioca |
E202530
|
entity |
| Predicate | tierInBrazil |
P74340
|
FINISHED |
| Object | top state division in Rio de Janeiro |
—
|
LITERAL 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: top state division in Rio de Janeiro | Statement: [Campeonato Carioca, tierInBrazil, top state division in Rio de Janeiro]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInBrazil Context triple: [Campeonato Carioca, tierInBrazil, top state division in Rio de Janeiro]
-
A.
urbanAreaRankInBrazil
Indicates the relative position or ranking of an urban area compared to other urban areas within Brazil.
-
B.
roleInBrazil
Indicates that an entity holds or held a specific role, position, or function within the context of Brazil.
-
C.
tierInDomesticSystem
chosen
Indicates the hierarchical level or rank that an entity occupies within a country's internal (domestic) system or structure.
-
D.
rankTier
Indicates the classification level or tier assigned to an entity within a ranking or hierarchical system.
-
E.
tierInNationalFootball
Indicates the competitive level or division within a country's national football league system in which an entity (e.g., a club or team) participates.
- F. None of above.
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_69ca832610e08190b3b6c6cd2c250255 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe88a936c8190a0234bf7da2ff55a |
completed | March 31, 2026, 3:30 p.m. |
| PD | Predicate disambiguation | batch_69cbd1160fcc8190aa380a73610af731 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:19 p.m.