Triple
T36254839
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olympic Athletes from Russia |
E891903
|
entity |
| Predicate | createdAsConsequenceOf |
P195816
|
FINISHED |
| Object | IOC sanctions against 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: IOC sanctions against Russia | Statement: [Olympic Athletes from Russia, createdAsConsequenceOf, IOC sanctions against Russia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: createdAsConsequenceOf Context triple: [Olympic Athletes from Russia, createdAsConsequenceOf, IOC sanctions against Russia]
-
A.
createdAsOutcomeOf
chosen
Indicates that one entity was brought into existence specifically as a result or consequence of another event, process, or action.
-
B.
consequenceOfInfluence
Indicates that one event, state, or condition occurs as a result of the influence or impact exerted by another.
-
C.
hasConsequence
Indicates that one event, action, or condition leads to or results in another as its outcome or effect.
-
D.
consequenceOfGoal
Indicates that one situation, event, or state occurs as a result of pursuing or achieving a particular goal.
-
E.
backstoryConsequence
Indicates that one event or situation occurs as a direct result or outcome of a character’s or entity’s prior history or background.
- 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_69f76e4599108190811532e707d6bc2c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff9a25407c81909faa86e72a7a9d17 |
completed | May 9, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69ff99c613688190a03b2f93d5ccad2b |
completed | May 9, 2026, 8:32 p.m. |
Created at: May 3, 2026, 4:09 p.m.