Triple
T17457216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planica Nordic Centre |
E425060
|
entity |
| Predicate | skiFlyingHillHillSize |
P127539
|
FINISHED |
| Object | HS240 |
—
|
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: HS240 | Statement: [Planica Nordic Centre, skiFlyingHillHillSize, HS240]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiFlyingHillHillSize Context triple: [Planica Nordic Centre, skiFlyingHillHillSize, HS240]
-
A.
hasSkiFlyingHill
Indicates that an entity possesses or includes a ski flying hill as one of its features or facilities.
-
B.
hasSkiAreaVerticalDrop
Indicates the vertical distance in elevation between the highest and lowest points of a ski area.
-
C.
hasSkiRunsLength_km
Indicates the total length, in kilometers, of the ski runs associated with an entity.
-
D.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
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_69d889db0ba481908402409af3b37917 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e45142b08481908cdd290692d796c3 |
completed | April 19, 2026, 3:51 a.m. |
| PD | Predicate disambiguation | batch_69e3b4f0e3fc819094e466b74622c956 |
completed | April 18, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69e3bbb37d148190b7f38599c06594ee |
completed | April 18, 2026, 5:13 p.m. |
Created at: April 10, 2026, 5:47 a.m.