Triple
T19772079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NETL knowledge representation system |
E474910
|
entity |
| Predicate | reasoningStyle |
P130616
|
FINISHED |
| Object | symbolic reasoning |
—
|
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: symbolic reasoning | Statement: [NETL knowledge representation system, reasoningStyle, symbolic reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasoningStyle Context triple: [NETL knowledge representation system, reasoningStyle, symbolic reasoning]
-
A.
usesReasoningStyle
Indicates that one entity employs or adopts a particular style or method of reasoning in its thinking or decision-making processes.
-
B.
reasoningType
chosen
Indicates the specific kind or mode of reasoning applied in deriving a conclusion or making an inference between entities.
-
C.
hasDecisionMakingStyle
Indicates that an entity possesses or exhibits a particular way or pattern of making decisions.
-
D.
decisionStyle
Indicates the characteristic way an entity approaches, processes, and makes decisions in a given context.
-
E.
rhetoricalStyle
Indicates the characteristic manner or technique of expression used in communication, such as tone, structure, and persuasive strategies.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6535ce4d08190a1dfca2df95a8631 |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:48 p.m.