Triple
T9301896
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | easyOffice |
E223782
|
entity |
| Predicate | hasBusinessApproach |
P59753
|
FINISHED |
| Object | cost reduction through simplicity |
—
|
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: cost reduction through simplicity | Statement: [easyOffice, hasBusinessApproach, cost reduction through simplicity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasBusinessApproach Context triple: [easyOffice, hasBusinessApproach, cost reduction through simplicity]
-
A.
hasBusiness
Indicates that one entity owns, operates, or is formally associated with a business entity.
-
B.
hasApproachType
Indicates the specific method, strategy, or manner in which an action, process, or interaction is carried out or approached.
-
C.
hasApproachStructure
Indicates that one entity possesses or includes an approach structure that provides access or a path leading to another entity.
-
D.
hasBusinessModelCharacteristic
chosen
Indicates that a business model possesses or exhibits a specific feature, quality, or attribute.
-
E.
managementApproach
Indicates the strategy, methods, or style used to direct, organize, and oversee the activities or resources of an entity or process.
- 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_69ca8424d0f08190831e2e93c6533aeb |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd08d34c4c819095a213360747c3a6 |
completed | April 1, 2026, noon |
| PD | Predicate disambiguation | batch_69cc7a5ef1908190bc5ca166bb895af6 |
completed | April 1, 2026, 1:52 a.m. |
Created at: March 30, 2026, 7:36 p.m.