Triple
T2832836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1979 World Series |
E62278
|
entity |
| Predicate | winningFranchiseTitleNumber |
P32585
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [1979 World Series, winningFranchiseTitleNumber, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningFranchiseTitleNumber Context triple: [1979 World Series, winningFranchiseTitleNumber, 5]
-
A.
winningTeamFirstTitle
Indicates that the winning team is achieving its first-ever title in the relevant competition or context.
-
B.
championshipNumberForFranchise
chosen
Indicates the number of championships that have been won by a given franchise.
-
C.
awardedToFranchise
Indicates that an award, title, or recognition has been given to a specific franchise.
-
D.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
E.
winnerTitleCount
Indicates the number of titles or championships an entity 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_69ab4c3c39188190955b9c49d98463d8 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdec036dc8190bc2d974f6d82eda9 |
completed | March 7, 2026, 8:16 a.m. |
| PD | Predicate disambiguation | batch_69abdd0acab881909e8c25cbef83678c |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:01 p.m.