Triple
T8143361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divided Line |
E190148
|
entity |
| Predicate | thirdCognitiveState |
P9643
|
FINISHED |
| Object | dianoia |
—
|
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: dianoia | Statement: [Divided Line, thirdCognitiveState, dianoia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: thirdCognitiveState Context triple: [Divided Line, thirdCognitiveState, dianoia]
-
A.
hasCognitiveComponent
chosen
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
-
B.
carriedStatesThird
Indicates that an entity transported or bore certain states or conditions for a third party or in a tertiary context.
-
C.
canBeThoughtBy
Indicates that something is capable of being conceived, imagined, or mentally represented by a thinking entity.
-
D.
secondaryState
Indicates that an entity is in a subordinate or less primary condition, status, or mode relative to its main or primary state.
-
E.
thirdPrecept
Indicates refraining from sexual misconduct or inappropriate sexual behavior in accordance with the third moral precept.
- 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_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. |
Created at: March 30, 2026, 5:36 p.m.