Triple
T36397653
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Campeonato Baiano Segunda Divisão |
E896529
|
entity |
| Predicate | tierInStateLeagueSystem |
P91899
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Campeonato Baiano Segunda Divisão, tierInStateLeagueSystem, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tierInStateLeagueSystem Context triple: [Campeonato Baiano Segunda Divisão, tierInStateLeagueSystem, 2]
-
A.
tierInLeagueSystem
Indicates the specific hierarchical level or division an entity occupies within an organized league system.
-
B.
countryLeagueSystem
Indicates that a particular league system operates within, or is associated with, a specific country.
-
C.
stateLeagueLevel
chosen
Indicates the competitive tier or division level of a league within a particular state’s league system.
-
D.
stateLeague
Indicates that a sports team or club competes in, or is affiliated with, a particular state-level league or competition.
-
E.
tierInNorthAmericanSystem
Indicates that an entity occupies a specified competitive or organizational level within the North American system for that domain (e.g., sports leagues, education, or other structured hierarchies).
- 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_69f76e53b81081908d3b81860593f38a |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7be9d07ac8190adf796cbef60daf6 |
completed | May 3, 2026, 9:31 p.m. |
| PD | Predicate disambiguation | batch_69f7bcccd7988190aa5c931ff347d33c |
completed | May 3, 2026, 9:23 p.m. |
Created at: May 3, 2026, 4:10 p.m.