Triple
T15934749
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | K-lines |
E386411
|
entity |
| Predicate | activationProperty |
P121052
|
FINISHED |
| Object | partial activation can evoke partial mental states |
—
|
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: partial activation can evoke partial mental states | Statement: [K-lines, activationProperty, partial activation can evoke partial mental states]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: activationProperty Context triple: [K-lines, activationProperty, partial activation can evoke partial mental states]
-
A.
activationType
Indicates the specific manner or mechanism by which an activation or triggering event occurs between entities.
-
B.
activatedFor
Indicates that something has been enabled, triggered, or made operational specifically on behalf of or in the context of a particular entity or target.
-
C.
activationStatus
Indicates whether an entity is currently active, enabled, or in effect within a given context.
-
D.
activationMechanism
Indicates the process or method by which one entity initiates, triggers, or enables the activity or functioning of another entity.
-
E.
activationBlock
Indicates that one entity prevents or inhibits the activation or functioning of 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e17d4d08f481909f38b75e3f42d9ab |
completed | April 17, 2026, 12:22 a.m. |
| PD | Predicate disambiguation | batch_69e142d37cd88190ab50760f1783e20c |
completed | April 16, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69e17d48cc9c8190b03fd07ae2e9dfd8 |
completed | April 17, 2026, 12:22 a.m. |
Created at: April 10, 2026, 4:53 a.m.