Triple
T221991
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York Yankees vs Baltimore Orioles |
E4233
|
entity |
| Predicate | featuresRegularSeasonGames |
P10146
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [New York Yankees vs Baltimore Orioles, featuresRegularSeasonGames, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresRegularSeasonGames Context triple: [New York Yankees vs Baltimore Orioles, featuresRegularSeasonGames, true]
-
A.
regularSeasonGamesPerTeam
Indicates the number of games each team plays during the regular season.
-
B.
rosterSizeRegularSeason
Indicates the number of players a team is allowed or has on its roster during the regular season.
-
C.
lastGameDate
Indicates the date on which the most recent game involving the given entity took place.
-
D.
pointsInNHLRegularSeason
Indicates the total number of points a player has recorded during NHL regular season games.
-
E.
gamesInNHLRegularSeason
Indicates the number of games a team plays during the NHL regular season.
- 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_69a2573508588190b522c2476d91acfe |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25efd0df48190b8fef4c422a1265f |
completed | Feb. 28, 2026, 3:20 a.m. |
| PD | Predicate disambiguation | batch_69a25b54d790819093b35bd1a6f00f92 |
completed | Feb. 28, 2026, 3:04 a.m. |
| PDg | Predicate description generation | batch_69a25efc13308190900a86ca0367c9b3 |
completed | Feb. 28, 2026, 3:20 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.