Triple
T4566279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National High School Baseball Invitational Tournament |
E121916
|
entity |
| Predicate | fieldSurface |
P1242
|
FINISHED |
| Object | natural grass outfield and dirt infield |
—
|
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: natural grass outfield and dirt infield | Statement: [National High School Baseball Invitational Tournament, fieldSurface, natural grass outfield and dirt infield]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fieldSurface Context triple: [National High School Baseball Invitational Tournament, fieldSurface, natural grass outfield and dirt infield]
-
A.
fieldSide
Indicates the relative side or position of something with respect to a defined field or playing area.
-
B.
surfaceFeatureOf
Indicates that one entity is a surface-level characteristic, pattern, or feature belonging to or present on another entity.
-
C.
surfaceType
chosen
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
fieldCovered
Indicates that a specified field or area is physically or functionally covered by some material, object, or condition.
-
E.
fieldDesign
Indicates a relationship where an entity is responsible for planning, arranging, or specifying the layout and structure of a particular field or area.
- 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_69bd463f156881908a99aca69c5721ac |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd589e35808190aa609bb04b128dbe |
completed | March 20, 2026, 2:24 p.m. |
| PD | Predicate disambiguation | batch_69bd52254c648190a5144cfe8fa7e409 |
completed | March 20, 2026, 1:56 p.m. |
Created at: March 20, 2026, 1:09 p.m.