Triple
T1531310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Design Patterns: Elements of Reusable Object-Oriented Software |
E32448
|
entity |
| Predicate | hasPatternCategory |
P15481
|
FINISHED |
| Object | creational |
—
|
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: creational | Statement: [Design Patterns: Elements of Reusable Object-Oriented Software, hasPatternCategory, creational]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPatternCategory Context triple: [Design Patterns: Elements of Reusable Object-Oriented Software, hasPatternCategory, creational]
-
A.
hasPattern
Indicates that one entity exhibits, follows, or is characterized by a specific recurring form, structure, or design defined by another entity.
-
B.
hasCategoryWithin
Indicates that one category is contained within or is a subcategory of another category.
-
C.
hasCategoryOn
chosen
Indicates that something is assigned to or associated with a specific category within a given context or scope.
-
D.
hasCategoryGroup
Indicates that something is associated with, or belongs to, a broader grouping of related categories.
-
E.
supportsPatternType
Indicates that one entity is compatible with, or capable of handling, a specified pattern type.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a933ddc5a881909cdf503f2bc29bd4 |
completed | March 5, 2026, 7:42 a.m. |
| PD | Predicate disambiguation | batch_69a907ae8f688190ad9000ea1e018585 |
completed | March 5, 2026, 4:33 a.m. |
Created at: March 4, 2026, 7:26 p.m.