Triple
T13797938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillehammer Olympic Bobsleigh and Luge Track |
E331563
|
entity |
| Predicate | competitionLengthLugeMen |
P111498
|
FINISHED |
| Object | 1365 m |
—
|
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: 1365 m | Statement: [Lillehammer Olympic Bobsleigh and Luge Track, competitionLengthLugeMen, 1365 m]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: competitionLengthLugeMen Context triple: [Lillehammer Olympic Bobsleigh and Luge Track, competitionLengthLugeMen, 1365 m]
-
A.
lugeVenue
Indicates that a location serves or is used as a venue for luge events or activities.
-
B.
hasSkiRunsLength_km
Indicates the total length, in kilometers, of the ski runs associated with an entity.
-
C.
capacityDuring1998WinterOlympics
Indicates the seating or usage capacity of a venue specifically during the period of the 1998 Winter Olympics.
-
D.
lengthRegime
Indicates a specific range or category of length within which something operates, is measured, or is classified.
-
E.
WorldAllroundChampion
Indicates that an entity holds the title of world all-round champion, having achieved the best overall performance across multiple disciplines or events at the global level.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
| PDg | Predicate description generation | batch_69dcad0eea9881908f71e1eed9a2446b |
completed | April 13, 2026, 8:45 a.m. |
Created at: April 9, 2026, 10:11 p.m.