Triple
T30369365
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | transition network |
E772507
|
entity |
| Predicate | canBeDeterministic |
P51462
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [transition network, canBeDeterministic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canBeDeterministic Context triple: [transition network, canBeDeterministic, true]
-
A.
isDeterministic
chosen
Indicates that the outcome of a process or function is fully determined by its inputs, with no randomness or variation between executions.
-
B.
hasDeterminant
Indicates that one entity functions as a determiner (e.g., article, demonstrative, quantifier) specifying or limiting the reference of another entity, typically a noun or noun phrase.
-
C.
oftenDeterministicDuring
Indicates that one entity tends to behave or occur in a predictable, rule-governed way during the time, process, or condition specified by another entity.
-
D.
hasLowerDeterminismThan
Indicates that one entity exhibits a lower degree of determinism in its behavior or outcomes compared to another entity.
-
E.
canBeRandomized
Indicates that the entity is capable of having its state, order, or selection determined by a random 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_69f2248d71408190aec0d5c2001b1cff |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd5bf69acc819092a01e4259785dc3 |
completed | May 8, 2026, 3:43 a.m. |
| PD | Predicate disambiguation | batch_69fd59b3f4ac8190a7f9dd3142da6e09 |
completed | May 8, 2026, 3:34 a.m. |
Created at: April 29, 2026, 7:59 p.m.