Triple
T14172088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Olympic Winter Games |
E351232
|
entity |
| Predicate | featuredDemonstrationSport |
P11558
|
FINISHED |
| Object | curling |
—
|
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: curling | Statement: [I Olympic Winter Games, featuredDemonstrationSport, curling]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuredDemonstrationSport Context triple: [I Olympic Winter Games, featuredDemonstrationSport, curling]
-
A.
demonstrationSport
chosen
Indicates that an activity is included in an event or program only as a non-medal, exhibition or trial sport rather than as an official competitive discipline.
-
B.
demonstratedOn
Indicates that an action, behavior, or property is shown, illustrated, or proven using a particular entity as the example or subject.
-
C.
portraysSport
Indicates that one entity visually or narratively represents or depicts a particular sport.
-
D.
featuredDiscipline
Indicates that one discipline is highlighted or given special prominence in relation to another entity or context.
-
E.
sportFocus
Indicates that one entity has a primary emphasis, specialization, or concentration on a particular sport represented by the other 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b5dcbc8190b0cfcce5e6c6d582 |
completed | April 14, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69de05baed64819096590e5618a3a8ed |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 1:01 a.m.