Triple
T28068505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Red Star Belgrade |
E709321
|
entity |
| Predicate | homeCountryTopDivisionTitles |
P147843
|
FINISHED |
| Object | multiple national championships |
—
|
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: multiple national championships | Statement: [Red Star Belgrade, homeCountryTopDivisionTitles, multiple national championships]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeCountryTopDivisionTitles Context triple: [Red Star Belgrade, homeCountryTopDivisionTitles, multiple national championships]
-
A.
countryTopDivisionTitles
Indicates the number of top-tier national league titles an entity has won in a given country.
-
B.
homeCountryLeagueTitleRecord
chosen
Indicates the record or count of league titles an entity has won in its home country’s primary league competition.
-
C.
countryWithMostTitles
Indicates the country that holds the highest number of titles (e.g., championships or awards) within a specified competition or context.
-
D.
homeCountryLeagueRank
Indicates the position or ranking of an entity’s home-country league within a competitive or hierarchical league system.
-
E.
homeCountryNationalTeamContribution
Indicates the extent to which an individual contributes to or participates in the national team of their home country.
- 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_69ef9b6f8078819098b741274cd1a2ee |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f65a6c900881908f18b61273d7bf8d |
completed | May 2, 2026, 8:11 p.m. |
| PD | Predicate disambiguation | batch_69f659ce58408190ba9e007b4810d4d0 |
completed | May 2, 2026, 8:08 p.m. |
Created at: April 27, 2026, 8:44 p.m.