Triple
T4786922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chicago White Sox–Minnesota Twins rivalry |
E106500
|
entity |
| Predicate | tiebreakerGameDate |
P58423
|
FINISHED |
| Object | September 30, 2008 |
—
|
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: September 30, 2008 | Statement: [Chicago White Sox–Minnesota Twins rivalry, tiebreakerGameDate, September 30, 2008]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tiebreakerGameDate Context triple: [Chicago White Sox–Minnesota Twins rivalry, tiebreakerGameDate, September 30, 2008]
-
A.
lastGameDate
Indicates the date on which the most recent game involving the given entity took place.
-
B.
game1Date
Indicates the calendar date on which the first game or match in a series takes place.
-
C.
game7Date
Indicates the scheduled calendar date on which the seventh game of a series or matchup takes place.
-
D.
game6Date
Indicates the calendar date on which the sixth game in a series or sequence of games takes place.
-
E.
tiebreaker
Indicates that one entity serves as the deciding factor used to break a tie between two or more otherwise equal options or outcomes.
- 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_69bd43f4a9588190bf73e20bc27c03cc |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd65d8f9d881909c24340b8dc6a104 |
completed | March 20, 2026, 3:20 p.m. |
| PD | Predicate disambiguation | batch_69bd622e1b408190806c15c61519fc74 |
completed | March 20, 2026, 3:05 p.m. |
| PDg | Predicate description generation | batch_69bd631328fc81909b28ae0a2a3ed9bb |
completed | March 20, 2026, 3:09 p.m. |
Created at: March 20, 2026, 1:22 p.m.