Triple
T13802765
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Preussag AG |
E331680
|
entity |
| Predicate | coreBusinessAfterTransformation |
P98695
|
FINISHED |
| Object | tourism services |
—
|
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: tourism services | Statement: [Preussag AG, coreBusinessAfterTransformation, tourism services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coreBusinessAfterTransformation Context triple: [Preussag AG, coreBusinessAfterTransformation, tourism services]
-
A.
formerCoreBusiness
Indicates that an entity was previously the main or primary line of business for another entity but no longer holds that status.
-
B.
laterBusinessModel
chosen
Indicates that one business model occurs or is adopted after another in time, representing a subsequent or successor business model in a sequence.
-
C.
corporateTransformation
Indicates a relationship where an organization undergoes a significant structural, strategic, or operational change from one corporate state to another.
-
D.
businessFunction
Indicates the specific role, activity, or operational function that an entity performs within a business context.
-
E.
industryTransformed
Indicates that an entity has fundamentally changed the structure, practices, or dynamics of a particular industry.
- 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_69d81c59f8808190a851bc56afdc55e9 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de026c36108190a7436034a730a261 |
completed | April 14, 2026, 9:01 a.m. |
| PD | Predicate disambiguation | batch_69dbc85fb600819098a2aab48169be96 |
completed | April 12, 2026, 4:29 p.m. |
Created at: April 9, 2026, 10:12 p.m.