Triple
T31128268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | giant slalom at the 1952 Winter Olympics |
E793418
|
entity |
| Predicate | homeSnowWinner |
P171343
|
FINISHED |
| Object | Stein Eriksen |
—
|
NE NERFINISHED |
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: Stein Eriksen | Statement: [giant slalom at the 1952 Winter Olympics, homeSnowWinner, Stein Eriksen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: homeSnowWinner Context triple: [giant slalom at the 1952 Winter Olympics, homeSnowWinner, Stein Eriksen]
-
A.
hasSnowIn
Indicates that snow is present or occurs within a specified location or region.
-
B.
snowAccess
Indicates that one entity has the ability, permission, or means to access or traverse snow-covered areas in relation to another entity or context.
-
C.
hasSnowfall
Indicates that a location or area experiences or contains snowfall.
-
D.
hasSnowType
Indicates that something possesses or is characterized by a particular type or category of snow.
-
E.
snowQuality
Indicates the condition or characteristics of the snow, such as its texture, depth, or suitability for a particular use.
- 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_69f224d1701c819094f429798290e361 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1a37e081908d1d86b90ff502bd |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69dfbf6ac8190ba2e6fc0adfd8b73 |
completed | May 3, 2026, 12:59 a.m. |
Created at: April 29, 2026, 9:05 p.m.