Triple
T4379726
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernie Brewer |
E99099
|
entity |
| Predicate | positionOnField |
P3250
|
FINISHED |
| Object | outfield concourse area at American Family Field |
—
|
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: outfield concourse area at American Family Field | Statement: [Bernie Brewer, positionOnField, outfield concourse area at American Family Field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionOnField Context triple: [Bernie Brewer, positionOnField, outfield concourse area at American Family Field]
-
A.
positionOn
chosen
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
centeredOnField
Indicates that one entity is positioned or focused around the central area of a specified field or domain.
-
C.
positionInFormation
Indicates the relative place or role an entity occupies within an organized formation or arrangement.
-
D.
positionOnRace
Indicates the relative ranking or placement an entity holds within the context of a race or competitive event.
-
E.
positionB
Indicates that one entity occupies or is located at a specific position relative to another entity.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| PD | Predicate disambiguation | batch_69b34f557fe8819085032bf7f0cea5dc |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:18 p.m.