Triple
T7315438
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalkia |
E168398
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Dalkia Česká republika |
E168398
|
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: Dalkia Česká republika | Statement: [Dalkia, hasSubsidiary, Dalkia Česká republika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dalkia Česká republika Context triple: [Dalkia, hasSubsidiary, Dalkia Česká republika]
-
A.
Dalkia
chosen
Dalkia is a French energy services company specializing in energy efficiency, district heating and cooling, and sustainable energy solutions for buildings and industry.
-
B.
GDF Suez
GDF Suez was a major French multinational energy company, primarily active in electricity and natural gas, that later rebranded as Engie.
-
C.
Energodar
Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
-
D.
Tractebel
Tractebel is an international engineering and consulting company specializing in energy, water, and infrastructure projects.
-
E.
Gazpromavia
Gazpromavia is a Russian airline owned by the energy company Gazprom, operating passenger and cargo flights as well as corporate and charter services, particularly in support of the oil and gas industry.
- 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_69c68a5251508190ad68df4151cfeb04 |
completed | March 27, 2026, 1:46 p.m. |
| NER | Named-entity recognition | batch_69c6ec04bdfc819093556aa5fa69e0e1 |
completed | March 27, 2026, 8:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e570bb0c8190a34c763e23e0b9da |
completed | March 28, 2026, 2:28 p.m. |
Created at: March 27, 2026, 3:02 p.m.