Triple
T2988504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Francisco Seals |
E80687
|
entity |
| Predicate | numberOfLeaguePennants |
P892
|
FINISHED |
| Object | 14 |
—
|
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: 14 | Statement: [San Francisco Seals, numberOfLeaguePennants, 14]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLeaguePennants Context triple: [San Francisco Seals, numberOfLeaguePennants, 14]
-
A.
runnerUpLeaguePennantWinner
Indicates that a team finished second in its league while another team won the league pennant.
-
B.
leaguePennants
chosen
Indicates that a team has won a specified number of league pennants (championship titles) in a particular league.
-
C.
leaguePennant
Indicates that a team has won the championship pennant for a particular league or season.
-
D.
AmericanLeaguePennants
Indicates that a baseball team has won one or more league championship titles (pennants) in Major League Baseball’s American League.
-
E.
numberOfWorldSeriesTitles
Indicates the count of World Series championship titles that an entity (typically a baseball team or player) has won.
- 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_69ad8b16c3488190b47b6aa7a59a335b |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99c9cdd081908fa8094a3ac1f8d3 |
completed | March 8, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69ad961403108190bbecb8d3608fd4e0 |
completed | March 8, 2026, 3:30 p.m. |
Created at: March 8, 2026, 2:59 p.m.