Triple
T1467833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDF |
E27064
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object | EDF Energy |
E166775
|
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: EDF Energy | Statement: [EDF, subsidiary, EDF Energy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EDF Energy Context triple: [EDF, subsidiary, EDF Energy]
-
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.
Électricité de France
chosen
Électricité de France is France’s state-owned electric utility company and one of the world’s largest producers and distributors of electricity, particularly known for its extensive nuclear power fleet.
-
C.
Engie
Engie is a major French multinational utility company specializing in electricity, natural gas, and energy services, with a strong focus on renewable and low-carbon energy solutions.
-
D.
Exelon
Exelon is a major American energy company and utility services holding corporation, known for operating one of the largest fleets of nuclear power plants in the United States.
-
E.
Arqiva
Arqiva is a UK-based communications infrastructure and media services company that operates broadcast transmission networks and related services for television, radio, and wireless communications.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d70a948190b50a6c1b36abc740 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad15a4d4b48190bda15e333f7efd7f |
completed | March 8, 2026, 6:22 a.m. |
Created at: March 1, 2026, 8:01 p.m.