Triple
T31713827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heini-Klopfer-Skiflugschanze |
E809399
|
entity |
| Predicate | hillRecordType |
P172455
|
FINISHED |
| Object | ski flying distance record on this hill |
—
|
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: ski flying distance record on this hill | Statement: [Heini-Klopfer-Skiflugschanze, hillRecordType, ski flying distance record on this hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hillRecordType Context triple: [Heini-Klopfer-Skiflugschanze, hillRecordType, ski flying distance record on this hill]
-
A.
hillType
Indicates the specific classification or category of a hill based on its form, characteristics, or context.
-
B.
hillProfile
Indicates the characteristic shape or contour of a hill as defined by its elevation changes over distance.
-
C.
hasHillRecord
Indicates that an entity holds or is associated with a specific record or achievement related to hill performance or activity.
-
D.
isHill
Indicates that the subject entity is classified as a hill, i.e., a naturally raised area of land lower and less steep than a mountain.
-
E.
containsHill
Indicates that one entity geographically includes or encompasses a hill within its area or boundaries.
- 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_69f348df4e048190a4a5a9932ada78d6 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6abe15d5c81909ccf4ce37f78bc43 |
completed | May 3, 2026, 1:58 a.m. |
| PD | Predicate disambiguation | batch_69f6aa20a1588190a53533fc9764efb2 |
completed | May 3, 2026, 1:51 a.m. |
| PDg | Predicate description generation | batch_69f6aaf31a548190b2f792ff4b8c002a |
completed | May 3, 2026, 1:54 a.m. |
Created at: April 30, 2026, 11:16 p.m.