Triple
T26505505
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | figure skating at the 2014 Winter Olympics |
E669532
|
entity |
| Predicate | goldMedalNationInLadiesSingles |
P161569
|
FINISHED |
| Object | Russia |
—
|
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: Russia | Statement: [figure skating at the 2014 Winter Olympics, goldMedalNationInLadiesSingles, Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: goldMedalNationInLadiesSingles Context triple: [figure skating at the 2014 Winter Olympics, goldMedalNationInLadiesSingles, Russia]
-
A.
ladiesSinglesChampion
Indicates that one entity is the winner of the women's singles competition in a given event or tournament.
-
B.
ladiesSinglesBronzeMedalist
Indicates the relationship where an entity is the bronze medal winner in a ladies' singles competition event.
-
C.
womenGoldMedalists
Indicates that the subject is a woman who has won a gold medal in a specified competition or event.
-
D.
firstWomenSinglesAchiever
Indicates that the subject is the first female athlete ever to achieve a particular milestone or title in women’s singles competition.
-
E.
wonWimbledonSingles
Indicates that an entity has won the Wimbledon tennis tournament in the singles category.
- 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_69eeb319ec70819090834c2591cf5f1e |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f61ad613608190855de13501a86007 |
completed | May 2, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69f611ab768c8190b1849c15a3e59dda |
completed | May 2, 2026, 3 p.m. |
| PDg | Predicate description generation | batch_69f61a16b7848190bf20d2be7e5a16c1 |
completed | May 2, 2026, 3:36 p.m. |
Created at: April 27, 2026, 1:16 a.m.