Triple
T12973112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super-G alpine skiing for men |
E321451
|
entity |
| Predicate | speedComparedToGiantSlalom |
P13562
|
FINISHED |
| Object | faster |
—
|
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: faster | Statement: [Super-G alpine skiing for men, speedComparedToGiantSlalom, faster]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: speedComparedToGiantSlalom Context triple: [Super-G alpine skiing for men, speedComparedToGiantSlalom, faster]
-
A.
typeOfSkiing
Indicates that one entity is a specific style, category, or kind of skiing in relation to another.
-
B.
alpineSkiingVenue
Indicates that one entity serves as a venue or location where alpine skiing activities or events take place in relation to another entity.
-
C.
speed
chosen
Indicates the rate at which an entity moves or changes position over time.
-
D.
primarySpeedSkatingVenue
Indicates that a location serves as the main or principal venue where an entity conducts its speed skating activities or events.
-
E.
speedClass
Indicates the categorical speed level or range assigned to an entity based on how fast it moves or operates.
- 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_69d80763bd6c819094437da5b20b01d2 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97f2a71a0819098bb6cf8a4b2208a |
completed | April 10, 2026, 10:52 p.m. |
| PD | Predicate disambiguation | batch_69d97dbdd94c8190ac4bbecca02dc77b |
completed | April 10, 2026, 10:46 p.m. |
Created at: April 9, 2026, 8:36 p.m.