Triple
T22262072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Limak |
E550251
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object |
Limak Enerji
Limak Enerji is a Turkish energy company involved in electricity generation, distribution, and retail services as part of the broader Limak Group.
|
E1527537
|
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: Limak Enerji | Statement: [Limak, hasSubsidiary, Limak Enerji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limak Enerji Context triple: [Limak, hasSubsidiary, Limak Enerji]
-
A.
Energodar
Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
-
B.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
-
C.
Tepe Enerji
Tepe Enerji is an energy company operating under Turkey’s Tepe Group, involved in power generation and related energy services.
-
D.
E-CO Energi
E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
-
E.
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.
- 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: Limak Enerji Triple: [Limak, hasSubsidiary, Limak Enerji]
Generated description
Limak Enerji is a Turkish energy company involved in electricity generation, distribution, and retail services as part of the broader Limak Group.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Limak Enerji Target entity description: Limak Enerji is a Turkish energy company involved in electricity generation, distribution, and retail services as part of the broader Limak Group.
-
A.
Energodar
Energodar is a Ukrainian city best known for hosting the Zaporizhzhia Nuclear Power Plant, the largest nuclear power station in Europe.
-
B.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
-
C.
Tepe Enerji
Tepe Enerji is an energy company operating under Turkey’s Tepe Group, involved in power generation and related energy services.
-
D.
E-CO Energi
E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
-
E.
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.
- 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_69e11e42adb8819087714772ea606709 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f141b87de0819088b7553406343068 |
completed | April 28, 2026, 11:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ab66a08848190ac34b6af7a116f49 |
completed | May 18, 2026, 6:49 a.m. |
| NEDg | Description generation | batch_6a0ab7f904bc81909addafee8773eae0 |
completed | May 18, 2026, 6:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ab891ba1c81909c9e9a5f29d4eb54 |
completed | May 18, 2026, 6:58 a.m. |
Created at: April 16, 2026, 8:39 p.m.