Triple
T29120273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QT-1 |
E737159
|
entity |
| Predicate | hasCognitiveTrait |
P162206
|
FINISHED |
| Object | logical 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: logical reasoning | Statement: [QT-1, hasCognitiveTrait, logical reasoning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCognitiveTrait Context triple: [QT-1, hasCognitiveTrait, logical reasoning]
-
A.
cognitiveTraits
chosen
Indicates that one entity possesses or is characterized by particular mental abilities, tendencies, or styles of thinking in relation to another entity or context.
-
B.
hasCognitiveComponent
Indicates that the related entity or process involves or depends on mental activities such as thinking, reasoning, perception, or understanding.
-
C.
hasBrainCharacteristic
Indicates that an entity possesses a specific feature, quality, or attribute related to the brain.
-
D.
hasMentalAge
Indicates that one entity possesses a cognitive or emotional development level equivalent to the typical age of another entity or age group.
-
E.
subjectHasCharacteristic
Indicates that a subject possesses, exhibits, or is defined by a particular characteristic or attribute.
- 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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_6a003ffb548081908ba64fd2b570f42f |
completed | May 10, 2026, 8:21 a.m. |
| PD | Predicate disambiguation | batch_6a003fcecf788190a13dff38b9de3414 |
completed | May 10, 2026, 8:20 a.m. |
Created at: April 28, 2026, 11:25 a.m.