Triple
T24734637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1994 Major League Baseball season |
E618376
|
entity |
| Predicate | gamesScheduledPerTeam |
P6413
|
FINISHED |
| Object | 162 |
—
|
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: 162 | Statement: [1994 Major League Baseball season, gamesScheduledPerTeam, 162]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gamesScheduledPerTeam Context triple: [1994 Major League Baseball season, gamesScheduledPerTeam, 162]
-
A.
numberOfGamesScheduled
chosen
Indicates the total count of games that have been planned or arranged for a given entity or time period.
-
B.
conferenceGamesPerTeam
Indicates the number of games each team plays against opponents within its conference.
-
C.
regularSeasonGamesPerTeam
Indicates the number of games each team plays during the regular season.
-
D.
awayGamesPerTeam
Indicates the number of games a team plays as the visiting (away) side.
-
E.
gamesPerTeamActuallyPlayedRange
Indicates the range of games that each team has actually played, as opposed to scheduled or expected games.
- 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_69e2fab772608190b74163751047ff50 |
completed | April 18, 2026, 3:29 a.m. |
| NER | Named-entity recognition | batch_69f410a25ab88190a72db43043c1f6ff |
completed | May 1, 2026, 2:32 a.m. |
| PD | Predicate disambiguation | batch_69f40ef612c88190ab2f3f08d4a92018 |
completed | May 1, 2026, 2:24 a.m. |
Created at: April 18, 2026, 4:03 a.m.