Triple
T982128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Negro American League |
E21191
|
entity |
| Predicate | primaryGameDay |
P22152
|
FINISHED |
| Object | Sunday |
—
|
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: Sunday | Statement: [Negro American League, primaryGameDay, Sunday]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGameDay Context triple: [Negro American League, primaryGameDay, Sunday]
-
A.
firstGamePlayed
Indicates the specific game that an entity participated in before any other, marking the earliest game in which it played.
-
B.
traditionalGame
Indicates that the relationship involves playing, practicing, or being associated with a game that is rooted in longstanding cultural or historical traditions.
-
C.
championshipGame
Indicates a game that determines the overall champion or winner of a competition or tournament.
-
D.
primarySport
Indicates the main sport with which an entity (such as a person, team, or organization) is most closely associated or primarily involved.
-
E.
primaryCompetition
Indicates that one entity is the main or most significant competitor of another within a given market, domain, or context.
- 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_69a493c2b62c8190b616351789ec47f8 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b49284ac8190b1d7c828d728893c |
completed | March 1, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69a4b2aa219081908a6b0ef786b4aa52 |
completed | March 1, 2026, 9:42 p.m. |
| PDg | Predicate description generation | batch_69a4b344f6f48190ba03ce593c94176b |
completed | March 1, 2026, 9:44 p.m. |
Created at: March 1, 2026, 7:41 p.m.