Triple
T17701068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tal’s Hill |
E441300
|
entity |
| Predicate | slopeDescription |
P20528
|
FINISHED |
| Object | sharp incline rising from warning track to center-field wall |
—
|
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: sharp incline rising from warning track to center-field wall | Statement: [Tal’s Hill, slopeDescription, sharp incline rising from warning track to center-field wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: slopeDescription Context triple: [Tal’s Hill, slopeDescription, sharp incline rising from warning track to center-field wall]
-
A.
slopeType
chosen
Indicates the classification of a slope based on its geometric or physical characteristics, such as steepness, shape, or orientation.
-
B.
slopeAspect
Indicates the compass direction that a slope or surface is facing.
-
C.
slopeUse
Indicates how a particular slope or gradient is utilized or purposed in relation to another entity.
-
D.
hasSlopeRating
Indicates that something (typically a golf course or hole) is associated with a specific slope rating value that quantifies its relative difficulty for bogey golfers compared to scratch golfers.
-
E.
curveDescription
Indicates that a curve is characterized or defined by a specific descriptive text or explanation.
- 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_69d8b9ea20b48190ace88bb46b01e6a9 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4715ae1fc81908438a1bba970c6ec |
completed | April 19, 2026, 6:08 a.m. |
| PD | Predicate disambiguation | batch_69e3cde601d4819097903f471f1fe99a |
completed | April 18, 2026, 6:31 p.m. |
Created at: April 10, 2026, 10:04 a.m.