Triple
T5678903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CEN |
E125151
|
entity |
| Predicate | standardNature |
P43297
|
FINISHED |
| Object | voluntary |
—
|
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: voluntary | Statement: [CEN, standardNature, voluntary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardNature Context triple: [CEN, standardNature, voluntary]
-
A.
hasNature
Indicates that something possesses, exhibits, or is characterized by a particular inherent quality, essence, or fundamental type.
-
B.
naturalOrArtificial
Indicates that something is classified as either naturally occurring or artificially created.
-
C.
naturalOccurrence
Indicates that the related event or phenomenon happens in nature without direct human intervention or artificial cause.
-
D.
standardType
Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
-
E.
codeNature
chosen
Indicates that one entity characterizes or specifies the type, category, or inherent nature of another entity, often in a coded or standardized form.
- 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_69c008295c808190acfe78915e7d656a |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c025303860819093e51f176babed71 |
completed | March 22, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69c021bc3894819084f37d14ba4b2644 |
completed | March 22, 2026, 5:07 p.m. |
Created at: March 22, 2026, 3:44 p.m.