Triple
T5915271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buffalo Bisons (Major League) |
E131563
|
entity |
| Predicate | featuredProminentPlayers |
P18052
|
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: [Buffalo Bisons (Major League), featuredProminentPlayers, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredProminentPlayers Context triple: [Buffalo Bisons (Major League), featuredProminentPlayers, true]
-
A.
featuresTopPlayersFrom
Indicates that something includes or showcases the most prominent or best-performing players from a specified source or group.
-
B.
featuresTopPlayers
chosen
Indicates that something prominently presents or showcases the most outstanding or highly ranked players.
-
C.
hasNotablePlayer
Indicates that an entity (such as a team or club) is associated with a player who is particularly distinguished, famous, or significant in its context.
-
D.
featuresPlayersFrom
Indicates that something (such as a work, event, or production) includes or showcases players originating from a specified source, group, or location.
-
E.
featuresPlayer
Indicates that something includes or prominently presents a particular player as part of its content or composition.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c048fc112c8190b905bf561c9de096 |
completed | March 22, 2026, 7:54 p.m. |
| PD | Predicate disambiguation | batch_69c03352208c8190968efed05a9fd416 |
completed | March 22, 2026, 6:22 p.m. |
Created at: March 22, 2026, 3:59 p.m.