Triple
T36344539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | FIS Ski Jumping Grand Prix |
E895025
|
entity |
| Predicate | hillPreparation |
P2534
|
FINISHED |
| Object | plastic matting |
—
|
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: plastic matting | Statement: [FIS Ski Jumping Grand Prix, hillPreparation, plastic matting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hillPreparation Context triple: [FIS Ski Jumping Grand Prix, hillPreparation, plastic matting]
-
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.
hillRecordType
Indicates the specific category or classification assigned to a hill-related record within a dataset or system.
-
D.
preparesFor
chosen
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
E.
preparatoryDay
Indicates that a day serves as a preparation period or lead-up to a subsequent event, action, or observance.
- F. None of above.
Provenance (3 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_69f76e4f437c8190a1af3ea2564f41f5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7bb3ff1b08190802b1063d55d3923 |
completed | May 3, 2026, 9:16 p.m. |
| PD | Predicate disambiguation | batch_69f7b9a611a081908dd6aec1df3f4d7f |
completed | May 3, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:09 p.m.