Triple
T27739978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rebellion |
E701825
|
entity |
| Predicate | hasWorldChampionshipMatches |
P180775
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Rebellion, hasWorldChampionshipMatches, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWorldChampionshipMatches Context triple: [Rebellion, hasWorldChampionshipMatches, yes]
-
A.
hasWorldChampionship
Indicates that an entity possesses, has won, or holds a world championship title or status.
-
B.
hasChampionshipMatch
Indicates that an entity is associated with a specific championship-level match, typically as an organizer, participant, or host.
-
C.
WorldChampionshipAppearances
Indicates the number of times an entity has participated in a world championship competition.
-
D.
WorldChampionshipParticipation
Indicates that an entity has taken part in a world championship event or competition.
-
E.
qualificationMatchesPlayed
Indicates that the number of qualification matches associated with an entity has been played or completed.
- F. None of above. chosen
Provenance (4 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_69ef6a53c7388190899baa6daf42301c |
completed | April 27, 2026, 1:53 p.m. |
| NER | Named-entity recognition | batch_69f7516d5b4081908588a6feb541f355 |
completed | May 3, 2026, 1:45 p.m. |
| PD | Predicate disambiguation | batch_69f74d40ebb081909daf60623e38f41d |
completed | May 3, 2026, 1:27 p.m. |
| PDg | Predicate description generation | batch_69f7516c538481908c6e55cf76add098 |
completed | May 3, 2026, 1:45 p.m. |
Created at: April 27, 2026, 4:09 p.m.