Triple
T37152944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chosen of Set |
E920411
|
entity |
| Predicate | embodiesAspectOf |
P4755
|
FINISHED |
| Object | Set |
—
|
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: Set | Statement: [Chosen of Set, embodiesAspectOf, Set]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: embodiesAspectOf Context triple: [Chosen of Set, embodiesAspectOf, Set]
-
A.
governsAspectOf
Indicates that one entity exercises control, regulation, or determining influence over a particular aspect or component of another entity.
-
B.
embodiedBy
chosen
Indicates that an abstract concept, role, or function is physically or concretely realized in a specific entity.
-
C.
symbolicAspect
Indicates that one entity functions as a symbol or emblem that represents, expresses, or conveys a particular meaning, quality, or concept of another entity.
-
D.
honorsAspectOf
Indicates that one entity shows respect, recognition, or reverence specifically toward a particular aspect, quality, or facet of another entity.
-
E.
refersToAspect
Indicates that one entity specifically references or points to a particular aspect, feature, or component of another entity.
- 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_69f76e9f87c08190b4c8f7fafbd8345a |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb344c60f8819090f2e21e1e61d621 |
completed | May 6, 2026, 12:30 p.m. |
| PD | Predicate disambiguation | batch_69fb2f642db08190b562725502c74ea6 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:15 p.m.