Triple
T21967207
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhen bu |
E542487
|
entity |
| Predicate | hasConceptualAssociation |
P531
|
FINISHED |
| Object | perfection |
—
|
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: perfection | Statement: [Dongzhen bu, hasConceptualAssociation, perfection]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasConceptualAssociation Context triple: [Dongzhen bu, hasConceptualAssociation, perfection]
-
A.
hasConceptualStructure
Indicates that one entity embodies, organizes, or is characterized by a particular conceptual structure defined by another entity.
-
B.
hasConcept
chosen
Indicates that an entity includes, embodies, or is associated with a particular concept.
-
C.
hasConceptualInvolvementBy
Indicates that something is conceptually influenced, shaped, or defined by the ideas, theories, or mental contributions of a particular agent or source.
-
D.
hasConceptualStatus
Indicates that an entity holds a particular abstract, theoretical, or conceptual standing or classification within a given framework or context.
-
E.
hasConceptualParallel
Indicates that one entity corresponds to or mirrors another at a conceptual level, showing a similar idea, structure, or pattern despite possible differences in form or context.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1245b821c8190816058c2a07707a3 |
completed | April 28, 2026, 9:19 p.m. |
| PD | Predicate disambiguation | batch_69e6f601f2188190893bcdde0cf58ad6 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 8:01 p.m.