Triple
T9535965
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1930 World Series |
E230014
|
entity |
| Predicate | PhiladelphiaAthleticsConsecutiveTitles |
P88597
|
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: [1930 World Series, PhiladelphiaAthleticsConsecutiveTitles, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: PhiladelphiaAthleticsConsecutiveTitles Context triple: [1930 World Series, PhiladelphiaAthleticsConsecutiveTitles, 2]
-
A.
BostonRedSoxConsecutiveTitles
Indicates that the Boston Red Sox baseball team won championship titles in consecutive seasons without interruption.
-
B.
PhilliesConsecutivePennants
Indicates that the Philadelphia Phillies baseball team won league pennants in consecutive seasons.
-
C.
TigersConsecutiveALPennants
Indicates that the Detroit Tigers baseball team won American League pennants in consecutive seasons without interruption.
-
D.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
-
E.
YankeesConsecutiveTitles
Indicates that the New York Yankees won championship titles in consecutive seasons.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98cd6a5c8190835c0910ec38ede3 |
completed | April 1, 2026, 10:14 p.m. |
| PD | Predicate disambiguation | batch_69cca56c44f88190a54a5d2a133bb07e |
completed | April 1, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69cca89f1d748190bf3636bea28d8a37 |
completed | April 1, 2026, 5:09 a.m. |
Created at: March 30, 2026, 8 p.m.