Triple
T11753577
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signal Iduna Group |
E279466
|
entity |
| Predicate | focusesOnClientGroup |
P53231
|
FINISHED |
| Object | small and medium-sized enterprises |
—
|
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: small and medium-sized enterprises | Statement: [Signal Iduna Group, focusesOnClientGroup, small and medium-sized enterprises]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnClientGroup Context triple: [Signal Iduna Group, focusesOnClientGroup, small and medium-sized enterprises]
-
A.
hasClientGroup
chosen
Indicates that an entity is associated with, or belongs to, a particular group of clients.
-
B.
targetsGroup
Indicates that an action, influence, or effect is directed toward a specific group as its intended recipient or focus.
-
C.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
focusesOnTeam
Indicates that the subject directs attention, effort, or priority toward a particular team as the main area of concern or activity.
-
E.
hasFocusGroup
Indicates that an entity is associated with or participates in a specific focus group for targeted discussion, feedback, or research.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50b8a14819092a7397d73f0a8e3 |
completed | April 10, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69d88a813cc48190a3dfdc60e8af80ae |
completed | April 10, 2026, 5:28 a.m. |
Created at: April 8, 2026, 9:41 p.m.