Triple
T435544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toronto Blue Jays |
E10002
|
entity |
| Predicate | secondWorldSeriesWin |
P6146
|
FINISHED |
| Object | 1993 |
—
|
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: 1993 | Statement: [Toronto Blue Jays, secondWorldSeriesWin, 1993]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondWorldSeriesWin Context triple: [Toronto Blue Jays, secondWorldSeriesWin, 1993]
-
A.
secondWorldSeriesChampionship
chosen
Indicates that the subject has won its second World Series championship title.
-
B.
wonWorldSeriesAgainst
Indicates that one team became the World Series champion by defeating another specific team in the championship series.
-
C.
WorldSeriesChampion
Indicates that a team or individual has won the championship title in a given season of the World Series.
-
D.
firstWorldSeriesChampionship
Indicates that the subject entity won its first World Series championship title in the referenced season or event.
-
E.
worldSeriesChampionAsPlayer
Indicates that the subject person has won a World Series championship in the role of a player.
- 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_69a2e8465ef481909655c681b01e2986 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2ef0b6e0c8190ad6a335ee804829c |
completed | Feb. 28, 2026, 1:35 p.m. |
| PD | Predicate disambiguation | batch_69a2eddb98e081909efcf9f0a955a908 |
completed | Feb. 28, 2026, 1:30 p.m. |
Created at: Feb. 28, 2026, 1:11 p.m.