Triple
T11195311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1922 World Series title |
E264906
|
entity |
| Predicate | numberOfGamesWonByChampion |
P15130
|
FINISHED |
| Object | 4 |
—
|
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: 4 | Statement: [1922 World Series title, numberOfGamesWonByChampion, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfGamesWonByChampion Context triple: [1922 World Series title, numberOfGamesWonByChampion, 4]
-
A.
championRegularSeasonWins
Indicates that an entity is the champion based on having the highest number of regular season wins.
-
B.
mostGamesWonBy
Indicates that one entity holds the record for having won the greatest number of games compared to others in a given context.
-
C.
championTotalWinsIncludingPostseason
Indicates the total number of games a champion has won in a season, counting both regular season and postseason victories.
-
D.
gamesWonBy
chosen
Indicates the number of games that have been won by a particular entity in a given context.
-
E.
numberOfWins
Indicates the count of times an entity has achieved victory in a relevant context or competition.
- 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_69d6aa9eb9248190b20211772621b4bc |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8bf14e481908563b15790af4d20 |
completed | April 9, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69d75cf4461c8190af84060f7db83211 |
completed | April 9, 2026, 8:01 a.m. |
Created at: April 8, 2026, 9:29 p.m.