Triple
T32909286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belarusian Cup |
E841828
|
entity |
| Predicate | followsCompetitionFormatOf |
P184370
|
FINISHED |
| Object | single-elimination |
—
|
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: single-elimination | Statement: [Belarusian Cup, followsCompetitionFormatOf, single-elimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsCompetitionFormatOf Context triple: [Belarusian Cup, followsCompetitionFormatOf, single-elimination]
-
A.
followsCompetitionStructureOf
chosen
Indicates that one competition adopts or adheres to the same structural format, rules, or progression model as another competition.
-
B.
appliesToCompetitionFormat
Indicates that something is relevant or specifically designed for a particular competition format.
-
C.
competitionFormat
Indicates the specific structure or ruleset under which a competition is organized and conducted.
-
D.
followsCompetition
Indicates that one entity participates in or occurs in a competition that takes place after or as a consequence of another specified competition.
-
E.
establishedInCompetitionFormat
Indicates that something was created, founded, or set up within the context of a specific competition format or structure.
- 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_69f34946a5208190bbd79f0fec4323bd |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
Created at: May 1, 2026, 1:19 a.m.