Triple
T14060061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thorleif Haug |
E338318
|
entity |
| Predicate | typeOfSkier |
P112665
|
FINISHED |
| Object | long-distance specialist |
—
|
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: long-distance specialist | Statement: [Thorleif Haug, typeOfSkier, long-distance specialist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfSkier Context triple: [Thorleif Haug, typeOfSkier, long-distance specialist]
-
A.
typeOfSkiing
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
B.
typeOfClimber
Indicates the specific category or style of climbing that a climber practices or is associated with.
-
C.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
D.
skiersOnly
Indicates that the associated entity, area, or resource is restricted for use exclusively by skiers and not by other types of users.
-
E.
hasSkiLiftType
Indicates the specific type or category of ski lift associated with an entity.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5686f51c81908c33143ecbaae83d |
completed | April 14, 2026, 3 p.m. |
| PD | Predicate disambiguation | batch_69de05adef888190b023ab42ef5076b6 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:21 p.m.