Triple
T6293623
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bernoulli trials |
E141077
|
entity |
| Predicate | hasCodingConvention |
P22945
|
FINISHED |
| Object | 1 for success |
—
|
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: 1 for success | Statement: [Bernoulli trials, hasCodingConvention, 1 for success]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCodingConvention Context triple: [Bernoulli trials, hasCodingConvention, 1 for success]
-
A.
hasCodeIn
Indicates that one entity is represented, defined, or implemented within the codebase or coding context of another entity.
-
B.
hasSignConvention
chosen
Indicates that a particular system, quantity, or representation follows a specified rule for assigning positive and negative signs.
-
C.
codeStandard
Indicates that an entity adheres to, complies with, or is governed by a specified coding or programming standard.
-
D.
hasCodeLetters
Indicates that an entity is associated with, or represented by, a specific sequence of letters used as its code or identifier.
-
E.
hasCallingConvention
Indicates that a function or method uses a specific calling convention that defines how arguments are passed and results are returned.
- 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.