Triple
T3279708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering |
E68841
|
entity |
| Predicate | hasPartDesignation |
P42819
|
FINISHED |
| Object | Part B |
—
|
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: Part B | Statement: [Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, hasPartDesignation, Part B]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartDesignation Context triple: [Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering, hasPartDesignation, Part B]
-
A.
hasPortionDesignatedAs
chosen
Indicates that one entity has a specific part or segment that is explicitly identified or designated as another entity.
-
B.
hasDesignation
Indicates that an entity holds or is assigned a specific title, label, or formal designation.
-
C.
hasPart
Indicates that one entity is a component, segment, or constituent part of another entity.
-
D.
designatorType
Indicates the specific role or category of a designator used to identify or reference an entity within a system or context.
-
E.
hasDesign
Indicates that one entity possesses, embodies, or is characterized by a particular design associated with 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_69ad859c463481909ca4be267336c290 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0166c8c81909cb0a580ef319be3 |
completed | March 8, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.