Triple
T4833646
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blue Monster course |
E108004
|
entity |
| Predicate | grassTypeFairways |
P44260
|
FINISHED |
| Object | Bermuda grass |
—
|
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: Bermuda grass | Statement: [Blue Monster course, grassTypeFairways, Bermuda grass]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grassTypeFairways Context triple: [Blue Monster course, grassTypeFairways, Bermuda grass]
-
A.
fairwayGrassType
chosen
Indicates the type or variety of grass used on a golf course fairway.
-
B.
fairwayType
Indicates the specific kind or classification of a fairway associated with an entity.
-
C.
homeGroundType
Indicates the type or category of venue that serves as an entity’s designated home ground.
-
D.
grainColor
Indicates the color attribute associated with a grain or granular material.
-
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_69bd43fbe444819085cb970706ef73f7 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c21c7f08190846049d31fdfa144 |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:25 p.m.