Triple
T593857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1907 World Series |
E17334
|
entity |
| Predicate | winningTeamFirstTitle |
P16057
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [1907 World Series, winningTeamFirstTitle, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningTeamFirstTitle Context triple: [1907 World Series, winningTeamFirstTitle, true]
-
A.
winningTeam
Indicates which team is the victor in a given competition, game, or contest.
-
B.
firstWinnerTeam
Indicates that the referenced team is the one that secured first place or victory in a given competition or event.
-
C.
wonLeagueTitle
Indicates that a team or individual finished a competition as champions, securing the league title for that season or tournament.
-
D.
firstWinnerYear
Indicates the year in which an entity first won a particular competition, award, or title.
-
E.
mostAwardsHolderTeam
Indicates the team that holds the highest number of awards within a given set or competition.
- 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_69a49379d09c8190ac7e00b24e2810b1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49bd15c5881909b59ed4c88687e7b |
completed | March 1, 2026, 8:04 p.m. |
| PD | Predicate disambiguation | batch_69a494cd7d3c8190af008acf34a2293b |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985ada988190aaea628a9b55bca4 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:33 p.m.