Triple
T593962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cubs–Cardinals rivalry |
E17336
|
entity |
| Predicate | team2WorldSeriesTitles |
P3871
|
FINISHED |
| Object | one of the highest totals in MLB |
—
|
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: one of the highest totals in MLB | Statement: [Cubs–Cardinals rivalry, team2WorldSeriesTitles, one of the highest totals in MLB]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: team2WorldSeriesTitles Context triple: [Cubs–Cardinals rivalry, team2WorldSeriesTitles, one of the highest totals in MLB]
-
A.
worldSeriesTitles
chosen
Indicates the number of World Series championship titles an entity (typically a baseball team) has won.
-
B.
worldSeriesTeams
Indicates a relationship where the specified teams are the ones that competed in a particular World Series event.
-
C.
WorldSeriesTeam
Indicates that a team participated as one of the competing teams in a given World Series.
-
D.
worldSeriesAppearance
Indicates that an entity (typically a team) has participated in a World Series event.
-
E.
team2SuperBowlTitles
Indicates the number of Super Bowl championships won by the second team in a given context.
- 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_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. |
Created at: March 1, 2026, 7:33 p.m.