Triple
T7154806
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tractebel |
E166782
|
entity |
| Predicate | parentOrganization |
P254
|
FINISHED |
| Object | ENGIE |
E27065
|
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: ENGIE | Statement: [Tractebel, parentOrganization, ENGIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENGIE Context triple: [Tractebel, parentOrganization, ENGIE]
-
A.
Engie
chosen
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.
-
B.
E.ON
E.ON is a major European energy company based in Germany that focuses on electricity generation, renewable energy, and energy infrastructure services.
-
C.
Siemens Energy
Siemens Energy is a global energy technology company specializing in power generation, transmission, and related services for conventional and renewable energy systems.
-
D.
Fortum
Fortum is a Finnish state-owned energy company that focuses on electricity generation, district heating, and related energy services across the Nordic and Baltic regions, Poland, and India.
-
E.
Eneco
Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
- 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_69c68887a5cc8190bec0ea96227164f7 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e80c747c8190a017a2b1c3e78a3f |
completed | March 27, 2026, 8:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7adb0ea288190b7eef76de30a3a1e |
completed | March 28, 2026, 10:30 a.m. |
Created at: March 27, 2026, 2:46 p.m.