Triple
T6723683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2023 American League pennant |
E153456
|
entity |
| Predicate | teamLeagueRecordOfChampion |
P11629
|
FINISHED |
| Object | 90–72 |
—
|
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: 90–72 | Statement: [2023 American League pennant, teamLeagueRecordOfChampion, 90–72]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamLeagueRecordOfChampion Context triple: [2023 American League pennant, teamLeagueRecordOfChampion, 90–72]
-
A.
championRegularSeasonRecord
chosen
Indicates that an entity is the champion associated with a particular regular season record.
-
B.
leagueChampionships
Indicates the number of league championship titles an entity has won.
-
C.
stateOfChampionTeam
Indicates that a given entity is the geographic or political state associated with a particular champion team.
-
D.
leagueChampionshipTeam
Indicates that a team is the champion or title-winning team of a particular league competition.
-
E.
numberOfLeagueTitles
Indicates the total count of league championship titles that 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_69c6880afb988190ad88011b48ecfcba |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d354177481908ab3cf5437c095e2 |
completed | March 27, 2026, 6:58 p.m. |
| PD | Predicate disambiguation | batch_69c6d08e8a2c8190ae4e8d8c039be7ce |
completed | March 27, 2026, 6:46 p.m. |
Created at: March 27, 2026, 2:08 p.m.