Triple
T19128396
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1954 World Series |
E468245
|
entity |
| Predicate | runnerUpWonAmericanLeaguePennantByGames |
P134516
|
FINISHED |
| Object | 8 |
—
|
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: 8 | Statement: [1954 World Series, runnerUpWonAmericanLeaguePennantByGames, 8]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: runnerUpWonAmericanLeaguePennantByGames Context triple: [1954 World Series, runnerUpWonAmericanLeaguePennantByGames, 8]
-
A.
numberOfGamesWonByRunnerUpInNLCS
Indicates the total number of games won by the runner-up team in a given National League Championship Series (NLCS).
-
B.
runnerUpLeaguePennantWinner
Indicates that a team finished second in its league while another team won the league pennant.
-
C.
ALCSResult
Indicates the outcome or result of a matchup or series in the American League Championship Series (ALCS) between the involved entities.
-
D.
worldSeriesGamesWonByALChampion
Indicates the number of World Series games won by the American League champion team in a given World Series.
-
E.
WorldSeriesGames
Indicates a relationship where a game is identified as one of the games that make up a particular World Series.
- F. None of above. chosen
Provenance (4 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3ceb5808190b3b53d9e8df3605a |
completed | April 20, 2026, 8:29 a.m. |
| PD | Predicate disambiguation | batch_69e4b9b085288190b974d649e12e0844 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe8a06081909fd5c28a33e9f218 |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:05 p.m.