Triple
T222194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American League Championship Series |
E4237
|
entity |
| Predicate | hasEliminationType |
P6984
|
FINISHED |
| Object | best-of-seven series elimination |
—
|
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: best-of-seven series elimination | Statement: [American League Championship Series, hasEliminationType, best-of-seven series elimination]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEliminationType Context triple: [American League Championship Series, hasEliminationType, best-of-seven series elimination]
-
A.
exemptionType
Indicates the specific category or kind of exemption that applies in a given context.
-
B.
canBeRemovedBy
Indicates that one entity is capable of eliminating, detaching, or undoing another entity or its effect.
-
C.
loserElimination
chosen
Indicates that the entity identified as the loser in a competition, game, or contest is removed or disqualified from further participation.
-
D.
hasSingularityType
Indicates that an entity possesses or is characterized by a specific type or category of singularity.
-
E.
hasRecreationType
Indicates that an entity is associated with or offers a particular type or category of recreational activity.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c705fd88190bfee7f5e1f7cee17 |
completed | Feb. 28, 2026, 3:09 a.m. |
| PD | Predicate disambiguation | batch_69a25b5617788190814358aee3f7ae37 |
completed | Feb. 28, 2026, 3:04 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.