Triple
T38338132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1939 World Series |
E1038016
|
entity |
| Predicate | championConsecutiveTitlesNumber |
P87395
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1939 World Series, championConsecutiveTitlesNumber, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: championConsecutiveTitlesNumber Context triple: [1939 World Series, championConsecutiveTitlesNumber, 4]
-
A.
consecutiveTitlesForChampion
Indicates that a champion has won multiple titles in succession without interruption.
-
B.
championConsecutiveTitlesStart
Indicates the point in time or event at which an entity begins a streak of winning championship titles in consecutive editions of a competition.
-
C.
numberOfChampionTitles
Indicates the total count of championship titles that an entity has won.
-
D.
consecutiveTitleNumberForChampion
chosen
Indicates that the associated number represents how many titles a champion has won consecutively up to that point.
-
E.
championSeriesWins
Indicates that one entity has won a championship series a specified number of times or in a specified context relative to another entity.
- 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_69f76e20d65c81909619ac0dd85c56f0 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd231cab588190ad0953dc8f4af8f2 |
completed | May 7, 2026, 11:41 p.m. |
| PD | Predicate disambiguation | batch_69fd1aa3f1c481909fe6e9cab1383551 |
completed | May 7, 2026, 11:05 p.m. |
Created at: May 3, 2026, 4:30 p.m.