Triple
T34922837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VISOR |
E1007193
|
entity |
| Predicate | enablesPerceptionOf |
P177515
|
FINISHED |
| Object | electromagnetic spectrum |
—
|
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: electromagnetic spectrum | Statement: [VISOR, enablesPerceptionOf, electromagnetic spectrum]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: enablesPerceptionOf Context triple: [VISOR, enablesPerceptionOf, electromagnetic spectrum]
-
A.
hasPerception
Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
-
B.
perceptionByHumans
Indicates that something is perceived, sensed, or experienced through human sensory or cognitive processes.
-
C.
intendedPerception
Indicates that one entity is meant or designed to be perceived (e.g., seen, heard, or otherwise sensed) by another entity.
-
D.
viewOnPerception
Indicates a relationship where one entity expresses or embodies a particular stance, interpretation, or opinion about the nature or process of perception.
-
E.
hasPerceivingFunction
chosen
Indicates that an entity possesses a function or capability specifically for perceiving or sensing other entities, events, or stimuli.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78710282c81909146dc0be91e983f |
completed | May 3, 2026, 5:34 p.m. |
| PD | Predicate disambiguation | batch_69f784162134819098413482ef52042f |
completed | May 3, 2026, 5:21 p.m. |
Created at: May 3, 2026, 4 p.m.