Triple
T20149683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mechanical Engineering program, UNB |
E491402
|
entity |
| Predicate | industryApplication |
P8461
|
FINISHED |
| Object | manufacturing industry |
—
|
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: manufacturing industry | Statement: [Mechanical Engineering program, UNB, industryApplication, manufacturing industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: industryApplication Context triple: [Mechanical Engineering program, UNB, industryApplication, manufacturing industry]
-
A.
usedInIndustry
chosen
Indicates that something is employed or applied within a particular industry or industrial sector.
-
B.
industryActivities
Indicates the types of economic or business activities in which an industry or sector is engaged.
-
C.
industryStart
Indicates the point in time or event at which an industry, industrial activity, or industrial era begins.
-
D.
industryIntegrated
Indicates that something is closely connected or coordinated with industry practices, partners, or environments, often through collaboration, alignment, or direct involvement.
-
E.
industrialCategory
Indicates the industry or sector classification to which an entity (such as a business or organization) belongs.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a0c0e881909a4f21a5d22973d2 |
completed | April 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69e54cfd924881909b55f3e4d3e7e070 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 11, 2026, 11:33 p.m.