Triple
T24758533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SR5 |
E619361
|
entity |
| Predicate | typicalPerception |
P164151
|
FINISHED |
| Object | balanced between utility and comfort |
—
|
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: balanced between utility and comfort | Statement: [SR5, typicalPerception, balanced between utility and comfort]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalPerception Context triple: [SR5, typicalPerception, balanced between utility and comfort]
-
A.
publicPerception
Indicates how an individual, group, or entity is viewed, judged, or regarded by the general public or society at large.
-
B.
typicalAssumption
Indicates that something is taken as a standard or default assumption that generally holds in typical or normal circumstances.
-
C.
perceptionBySelf
Indicates that an entity has a perception, awareness, or sensory experience of itself.
-
D.
typicalIn
Indicates that something commonly occurs, appears, or is found within a given context, category, or environment.
-
E.
intendedPerception
Indicates that one entity is meant or designed to be perceived (e.g., seen, heard, or otherwise sensed) by 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_69e2fabbea94819092ed41348909622f |
completed | April 18, 2026, 3:30 a.m. |
| NER | Named-entity recognition | batch_69f643c204508190a43fe0ec5165b01c |
completed | May 2, 2026, 6:34 p.m. |
| PD | Predicate disambiguation | batch_69f641da05b881909f6283c988639c53 |
completed | May 2, 2026, 6:26 p.m. |
| PDg | Predicate description generation | batch_69f6430975b481909191219ad13ef77e |
completed | May 2, 2026, 6:31 p.m. |
Created at: April 18, 2026, 4:26 a.m.