Triple
T9715928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | E.ON |
E235141
|
entity |
| Predicate | spunOff |
P1257
|
FINISHED |
| Object | Uniper |
E815958
|
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: Uniper | Statement: [E.ON, spunOff, Uniper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uniper Context triple: [E.ON, spunOff, Uniper]
-
A.
Uniper
chosen
Uniper is a German energy company focused on power generation and global energy trading, formed from the conventional energy business spun off from E.ON.
-
B.
TotalEnergies
TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
-
C.
MOL Global
MOL Global was a Malaysian online payment solutions provider best known for acquiring the once-popular social networking site Friendster.
-
D.
Equinor
Equinor is a Norwegian state-owned energy company and one of the world’s leading producers of oil, gas, and increasingly renewable energy.
-
E.
Aker BP
Aker BP is a Norwegian oil and gas exploration and production company and one of the largest independent operators on the Norwegian Continental Shelf.
- 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_69d1afa6d0d08190a8008b675c9aabb1 |
completed | April 5, 2026, 12:41 a.m. |
Created at: March 30, 2026, 8:20 p.m.