Triple
T26565585
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nordic combined at the 2010 Winter Olympics |
E666371
|
entity |
| Predicate | skiJumpHillType |
P161037
|
FINISHED |
| Object | large 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: large hill | Statement: [Nordic combined at the 2010 Winter Olympics, skiJumpHillType, large hill]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: skiJumpHillType Context triple: [Nordic combined at the 2010 Winter Olympics, skiJumpHillType, large hill]
-
A.
skiJumpingVenue
Indicates that one entity serves as the ski jumping venue or facility associated with another entity (such as an event, competition, or organization).
-
B.
skiFlyingHillHillSize
Indicates the size classification or measurement of a ski flying hill.
-
C.
skiAreaType
Indicates the specific type or classification of a ski area associated with an entity (e.g., resort, backcountry, terrain park).
-
D.
typeOfSkiing
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
E.
skiFlyingHillKPoint
Indicates the designated K-point (critical distance) of a ski flying hill, defining the reference point used to measure and evaluate ski jumps.
- 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_69ee9cf7e94481909f0d556b36e43572 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f6149de5408190803077b6ef97b8f7 |
completed | May 2, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 27, 2026, 1:55 a.m.