Triple
T34580913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalia Shaposhnikova |
E887897
|
entity |
| Predicate | gymnasticsApparatusSpecialty |
P179337
|
FINISHED |
| Object | vault |
—
|
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: vault | Statement: [Natalia Shaposhnikova, gymnasticsApparatusSpecialty, vault]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: gymnasticsApparatusSpecialty Context triple: [Natalia Shaposhnikova, gymnasticsApparatusSpecialty, vault]
-
A.
gymnasticsArena
Indicates that one entity serves as a gymnastics arena or venue where gymnastics activities, events, or competitions take place in relation to another entity.
-
B.
gymnasticsStar
Indicates that one entity is recognized as an outstanding or star performer in gymnastics.
-
C.
capacityGymnastics
Indicates that an entity has the ability or suitability to perform or engage in gymnastics.
-
D.
gymnasticsTeam
Indicates that one entity is a gymnastics team associated with, composed of, or representing the other entity.
-
E.
conferenceGymnastics
Indicates a relationship where a conference is focused on, features, or is associated with gymnastics activities or events.
- 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_69f349d25cbc8190869998de5915886b |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f720c32a60819083bd47b9b1903ebc |
completed | May 3, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f71cc8074c81909ae09bea2acf1a09 |
completed | May 3, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69f71f8df5d48190944fbfbd9d573868 |
completed | May 3, 2026, 10:12 a.m. |
Created at: May 1, 2026, 2:03 a.m.