Triple
T10056908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Union Purple Raiders football |
E208885
|
entity |
| Predicate | winningPercentageEra1985to2018 |
P40254
|
FINISHED |
| Object | .900+ |
—
|
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: .900+ | Statement: [Mount Union Purple Raiders football, winningPercentageEra1985to2018, .900+]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: winningPercentageEra1985to2018 Context triple: [Mount Union Purple Raiders football, winningPercentageEra1985to2018, .900+]
-
A.
ledLeagueInERA
Indicates that the subject finished a season with the lowest earned run average (ERA) in its league, leading all other eligible pitchers.
-
B.
careerERA
Indicates the earned run average (ERA) a pitcher maintains over the entirety of their professional career.
-
C.
allTimeWinningPercentage
chosen
Indicates the proportion of contests or games an entity has won over its entire recorded history, typically expressed as a percentage.
-
D.
careerEarnedRunAverage
Indicates the average number of earned runs a pitcher allows per nine innings over the entire span of their career.
-
E.
1899WinningPercentage
Indicates the proportion of games or contests an entity won during the year 1899 relative to the total it participated in.
- 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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfae503881909b9f016da4e2207d |
completed | April 2, 2026, 2:08 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:57 p.m.