Triple
T27007322
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prousts motor |
E680278
|
entity |
| Predicate | examinesThroughLensOf |
P144939
|
FINISHED |
| Object | technology |
—
|
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: technology | Statement: [Prousts motor, examinesThroughLensOf, technology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: examinesThroughLensOf Context triple: [Prousts motor, examinesThroughLensOf, technology]
-
A.
exploresPerspectiveOf
chosen
Indicates that one entity examines, investigates, or considers the viewpoint, stance, or outlook associated with another entity.
-
B.
perspectiveOf
Indicates that something is expressed, depicted, or understood from the viewpoint or standpoint of a particular entity.
-
C.
viewingIs
Indicates that one entity is engaged in the act or state of viewing, observing, or watching another entity.
-
D.
visionOf
Indicates that one entity is a visual representation, image, or depiction of another entity.
-
E.
usesAsLens
Indicates that one entity employs another entity as a lens or optical element through which to view, focus, or modify light or images.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 7:01 a.m.