Triple
T6293635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli trials |
E141077
|
entity |
| Predicate | hasKeyCondition |
P1255
|
FINISHED |
| Object | probability of success does not change from trial to trial |
—
|
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: probability of success does not change from trial to trial | Statement: [Bernoulli trials, hasKeyCondition, probability of success does not change from trial to trial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasKeyCondition Context triple: [Bernoulli trials, hasKeyCondition, probability of success does not change from trial to trial]
-
A.
hasCondition
chosen
Indicates that an entity possesses, experiences, or is affected by a particular condition or state.
-
B.
hasKeyFunction
Indicates that one entity serves as a primary or essential function or role for another entity.
-
C.
hasKeyElement
Indicates that one entity contains or depends on another entity that serves as a primary or essential component.
-
D.
hasKeyDemand
Indicates that one entity requires or insists on another entity as a crucial or primary condition, resource, or requirement.
-
E.
hasKeyDocument
Indicates that an entity possesses or is associated with a primary or essential document relevant to a particular context or process.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06438654481908c9833c5f0d61773 |
completed | March 22, 2026, 9:50 p.m. |
| PD | Predicate disambiguation | batch_69c060df0d8881908215575862ef6831 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:27 p.m.