Triple
T14482875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yelena Isinbayeva |
E359153
|
entity |
| Predicate | wasFlagBearerFor |
P4357
|
FINISHED |
| Object | Russia at an international sporting event |
—
|
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: Russia at an international sporting event | Statement: [Yelena Isinbayeva, wasFlagBearerFor, Russia at an international sporting event]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasFlagBearerFor Context triple: [Yelena Isinbayeva, wasFlagBearerFor, Russia at an international sporting event]
-
A.
flagBearer
chosen
Indicates that one entity serves as the carrier or holder of a flag on behalf of another entity, group, or cause.
-
B.
carriedOlympicTorchAt
Indicates that an entity participated in an Olympic Torch Relay by carrying the Olympic torch at a specific location or event.
-
C.
flagBearerState
Indicates that a state serves as the flag-bearing entity (e.g., the country whose flag is being represented) in relation to another entity or context.
-
D.
carriedInFrontOf
Indicates that one entity is transported or held while positioned ahead of another entity along the direction of movement or orientation.
-
E.
flagFlown
Indicates that a particular flag is being displayed or flown at a specific location or by a specific 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_69d8279740308190af9df93a3af8592e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de924bc548819087a2f693840d7426 |
completed | April 14, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69de5c487b4c819097803e58dca628a5 |
completed | April 14, 2026, 3:24 p.m. |
Created at: April 10, 2026, 1:20 a.m.