Triple
T8143362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divided Line |
E190148
|
entity |
| Predicate | highestCognitiveState |
P80919
|
FINISHED |
| Object | noesis |
—
|
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: noesis | Statement: [Divided Line, highestCognitiveState, noesis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestCognitiveState Context triple: [Divided Line, highestCognitiveState, noesis]
-
A.
hasCognitiveComponent
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
-
B.
highestOrgan
Indicates that one entity is the organ with the highest rank, level, or position within a specified system or hierarchy relative to another entity.
-
C.
highestCategory
Indicates that the related entity is the topmost or most specific category to which another entity is ultimately classified or assigned.
-
D.
hasReasoningComplexity
Indicates that an action, process, or decision involves a certain level or type of cognitive or logical complexity in its reasoning.
-
E.
typeOfIntelligence
Indicates that one entity is a specific kind or category of intelligence in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69ca82bd9900819099477cdc2eb4244f |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4444bb248190beaaa2ce4b8f3eaa |
completed | March 31, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69cb369c0d0481908762c488d7f77e74 |
completed | March 31, 2026, 2:51 a.m. |
| PDg | Predicate description generation | batch_69cb39d20e78819092ea9e04357be008 |
completed | March 31, 2026, 3:04 a.m. |
Created at: March 30, 2026, 5:36 p.m.