Triple
T38369540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Virtual Systems Analysis |
E892539
|
entity |
| Predicate | hasMetaElements |
P5500
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Virtual Systems Analysis, hasMetaElements, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMetaElements Context triple: [Virtual Systems Analysis, hasMetaElements, yes]
-
A.
hasMetaLevel
Indicates that one entity operates at a higher, more abstract, or descriptive level relative to another entity (e.g., data about data, rules about rules, or models about models).
-
B.
hasMetadata
chosen
Indicates that one entity is associated with descriptive or informational data about another entity.
-
C.
hasMetaSubject
Indicates that an entity is associated with a subject at a meta-level, such as the topic, theme, or aboutness of the entity rather than its direct content or participants.
-
D.
hasMetaNarrativeElement
Indicates that a work contains self-referential or self-aware storytelling features that comment on, frame, or otherwise draw attention to its own narrative structure or status as a narrative.
-
E.
hasAbstractElements
Indicates that something contains or is composed of non-physical, conceptual, or intangible elements.
- 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_69f76e47cb4c8190bdd92cd1db59c0c5 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ffbf84f4948190b41a7bba07ae61ec |
completed | May 9, 2026, 11:13 p.m. |
| PD | Predicate disambiguation | batch_69ffbf0a59f88190870dbe25d8a63a00 |
completed | May 9, 2026, 11:11 p.m. |
Created at: May 3, 2026, 4:31 p.m.