Triple
T26200718
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PSL |
E655222
|
entity |
| Predicate | hasUmpireDecisionReviewSystem |
P154573
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [PSL, hasUmpireDecisionReviewSystem, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUmpireDecisionReviewSystem Context triple: [PSL, hasUmpireDecisionReviewSystem, yes]
-
A.
usesDecisionReviewSystem
chosen
Indicates that an entity employs a formal decision review system (such as video or third-party review) to evaluate and potentially overturn initial decisions or judgments.
-
B.
Game6Umpire
Indicates that an entity serves as the umpire for game 6 in a series or event.
-
C.
eraAsUmpire
Indicates the time period during which an entity served in the role of an umpire.
-
D.
usesGoalLineTechnology
Indicates that an entity employs goal-line technology to determine whether a ball has fully crossed the goal line.
-
E.
usesAmericanRules
Indicates that the action, process, or system is conducted according to American rules or standards rather than other rule sets.
- 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_69ee5b48236c81908fe385b6afc4f60b |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f60cdaeebc81909c7587f038ad6246 |
completed | May 2, 2026, 2:40 p.m. |
| PD | Predicate disambiguation | batch_69f5b007ec1c819092e2c3605933f60b |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 26, 2026, 8:48 p.m.