Triple
T4966995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baltimore Claws |
E111552
|
entity |
| Predicate | playedPreseasonGames |
P61479
|
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: [Baltimore Claws, playedPreseasonGames, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: playedPreseasonGames Context triple: [Baltimore Claws, playedPreseasonGames, yes]
-
A.
postseasonGamesPlayed
Indicates the number of games an entity has participated in during postseason or playoff competition.
-
B.
playedRegularSeasonGamesIn
Indicates that an athlete participated in one or more regular-season games for a specified team or league.
-
C.
regularSeasonGamesPlayed
Indicates the number of games an entity participated in during the regular season of a competition or league.
-
D.
isPreseasonTournamentFor
Indicates that a tournament takes place before the regular season and serves as a preparatory competition for a specific main season or league.
-
E.
playsChampionshipGame
Indicates that an entity participates as a competitor in a championship-level game or match.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
| PDg | Predicate description generation | batch_69bd72e1b7cc8190b2e621fdf8f22e38 |
completed | March 20, 2026, 4:16 p.m. |
Created at: March 20, 2026, 1:32 p.m.