Triple
T22780383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeongseon Alpine Centre |
E563819
|
entity |
| Predicate | meetsStandardOf |
P129980
|
FINISHED |
| Object | International Ski Federation (FIS) requirements |
—
|
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: International Ski Federation (FIS) requirements | Statement: [Jeongseon Alpine Centre, meetsStandardOf, International Ski Federation (FIS) requirements]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetsStandardOf Context triple: [Jeongseon Alpine Centre, meetsStandardOf, International Ski Federation (FIS) requirements]
-
A.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
-
B.
isStandard
Indicates that something conforms to an established norm, specification, or commonly accepted rule.
-
C.
includesStandard
Indicates that one entity contains, incorporates, or makes use of a particular standard as part of its definition, implementation, or specification.
-
D.
meetsRegarding
Indicates that one entity meets with another specifically to discuss or address a particular topic, issue, or subject.
-
E.
meetsNeedOf
chosen
Indicates that one entity sufficiently fulfills or satisfies the requirement, demand, or expectation specified by another entity.
- 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_69e2455500788190b4b33030461f3bbd |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17c2cab0881908df1d0629b43d350 |
completed | April 29, 2026, 3:34 a.m. |
| PD | Predicate disambiguation | batch_69eed2c32e8c8190b73bb9965ed47d64 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:28 p.m.