Triple
T9715935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E.ON |
E235141
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object | E.ON Home |
E235141
|
NE 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: E.ON Home | Statement: [E.ON, hasBrand, E.ON Home]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: E.ON Home Context triple: [E.ON, hasBrand, E.ON Home]
-
A.
E.ON
chosen
E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
-
B.
Eneco
Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
-
C.
Hitachi Energy
Hitachi Energy is a global technology company specializing in power grids and energy solutions, formed as a joint venture between Hitachi and ABB to support the transition to sustainable energy systems.
-
D.
Siemens Energy
Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
-
E.
RWE
RWE is a major German energy company that operates internationally, with significant investments in renewable power generation such as large offshore wind farms.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca84cd8fa0819090a5e243ceb37003 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e0bb82081908e21a646f4de1a61 |
completed | April 1, 2026, 10:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19f941b908190a3e27f4b6c1b3535 |
completed | April 4, 2026, 11:32 p.m. |
Created at: March 30, 2026, 8:20 p.m.