Triple
T22910735
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crystal Downs Country Club |
E568581
|
entity |
| Predicate | turfType |
P150212
|
FINISHED |
| Object | cool-season grasses |
—
|
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: cool-season grasses | Statement: [Crystal Downs Country Club, turfType, cool-season grasses]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: turfType Context triple: [Crystal Downs Country Club, turfType, cool-season grasses]
-
A.
mapsType
Indicates that one entity serves as a mapping whose values or outputs are of the specified type.
-
B.
cartographicType
Indicates the specific kind or category of cartographic representation associated with an entity (e.g., map type or mapping style).
-
C.
mappingType
Indicates the specific kind or category of correspondence established between two related elements or representations.
-
D.
terrainStyle
Indicates the characteristic type or pattern of terrain associated with an entity or location.
-
E.
trailNetworkType
Indicates the classification of a trail within a broader trail network, such as its role, category, or type of route in that system.
- 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_69e2458cd9e48190943ad2e34485d939 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807493a881909e7ee6e8c4c5d4ad |
completed | April 29, 2026, 3:52 a.m. |
| PD | Predicate disambiguation | batch_69ef3b7c5fc081909ac50c5c8569cc19 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:42 p.m.