Triple
T33956149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Ski & Snowboard |
E870577
|
entity |
| Predicate | disciplineGoverned |
P56283
|
FINISHED |
| Object | alpine skiing |
—
|
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: alpine skiing | Statement: [U.S. Ski & Snowboard, disciplineGoverned, alpine skiing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: disciplineGoverned Context triple: [U.S. Ski & Snowboard, disciplineGoverned, alpine skiing]
-
A.
governingDiscipline
chosen
Indicates that one discipline or field provides the primary rules, principles, or framework that regulate or guide another activity, domain, or practice.
-
B.
regulatesDiscipline
Indicates that one entity establishes or enforces rules, standards, or controls governing the conduct or discipline of another entity.
-
C.
disciplineCode
Indicates the specific field, subject area, or branch of study/classification to which an entity is assigned or categorized.
-
D.
disciplineOnboard
Indicates the process or action of integrating, orienting, and preparing someone to follow the standards, rules, or practices of a particular discipline or domain.
-
E.
mentionedInDiscipline
Indicates that something is referenced, discussed, or cited within a particular academic or professional discipline.
- 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_69f3499c2d7481909c953a5010227725 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f70b966860819089cf92927f47c5f1 |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70abe43e08190b2a30930d96247c1 |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:49 a.m.