Triple
T5933359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TotalEnergies |
E131987
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | TotalEnergies Renewables |
E131987
|
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: TotalEnergies Renewables | Statement: [TotalEnergies, hasSubsidiary, TotalEnergies Renewables]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TotalEnergies Renewables Context triple: [TotalEnergies, hasSubsidiary, TotalEnergies Renewables]
-
A.
EDF Renewables
EDF Renewables is a global renewable energy company specializing in the development, construction, and operation of wind, solar, and energy storage projects.
-
B.
SSE Renewables
SSE Renewables is a UK-based renewable energy company focused on developing, owning, and operating wind and hydroelectric power assets, particularly offshore wind farms.
-
C.
TotalEnergies
chosen
TotalEnergies is a major French multinational energy company engaged in oil, gas, and renewable energy production and distribution worldwide.
-
D.
Ørsted
Ørsted is a Danish renewable energy company and one of the world’s leading developers and operators of offshore wind farms.
-
E.
Helion Energy
Helion Energy is a private American nuclear fusion company focused on developing commercial fusion power technology as a clean, scalable energy source.
- 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_69c0085c55dc8190aa90e242c956e2fa |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389f6fc881909527b928838ffcdd |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c064d2a4819096085668182cfde1 |
completed | March 23, 2026, 4:24 a.m. |
Created at: March 22, 2026, 4 p.m.