Triple
T23848247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1990 National League Championship Series |
E592082
|
entity |
| Predicate | losingGames |
P50813
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [1990 National League Championship Series, losingGames, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: losingGames Context triple: [1990 National League Championship Series, losingGames, 2]
-
A.
loserGamesWon
chosen
Indicates the number of games won by the losing participant in a match or contest.
-
B.
losingLeague
Indicates that a league is in a losing or disadvantaged position, such as having an overall negative performance or being behind its competitors.
-
C.
losingState
Indicates that a particular game or competitive situation is in a condition where the player or side in question is currently losing or destined to lose under optimal play.
-
D.
clinchingGameLoser
Indicates the team or player that loses the game in which the opposing side secures (clinches) a series, title, or advancement.
-
E.
gamesLostBy
Indicates the number of games that one entity has been defeated in by another entity.
- 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c9851f988190af39f57f9b71da03 |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:10 p.m.