Triple
T1467832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | EDF |
E27064
|
entity |
| Predicate | subsidiary |
P258
|
FINISHED |
| Object |
Dalkia
Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
|
E168398
|
NE FINISHED |
How this triple was built (4 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: Dalkia | Statement: [EDF, subsidiary, Dalkia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalkia Context triple: [EDF, subsidiary, Dalkia]
-
A.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
-
B.
Tractebel
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
C.
Électricité de France
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.
-
D.
Veolia Environnement
Veolia Environnement is a French multinational company specializing in water, waste, and energy management services worldwide.
-
E.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dalkia Triple: [EDF, subsidiary, Dalkia]
Generated description
Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dalkia Target entity description: Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
-
A.
Bouygues
Bouygues is a major French industrial group primarily active in construction, real estate development, media, and telecommunications.
-
B.
Tractebel
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
C.
Électricité de France
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.
-
D.
Veolia Environnement
Veolia Environnement is a French multinational company specializing in water, waste, and energy management services worldwide.
-
E.
Areva
Areva was a French multinational group specializing in nuclear power and renewable energy technologies, known for its involvement in the entire nuclear fuel cycle.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_69ad1667345c8190a28ad33639e1ac2f |
completed | March 8, 2026, 6:25 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad16c8df5c819089809f2eee6f27ee |
completed | March 8, 2026, 6:27 a.m. |
Created at: March 1, 2026, 8:01 p.m.