Triple
T16913908
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Smartwings |
E410272
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | Smartwings Poland |
E410272
|
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: Smartwings Poland | Statement: [Smartwings, hasSubsidiary, Smartwings Poland]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smartwings Poland Context triple: [Smartwings, hasSubsidiary, Smartwings Poland]
-
A.
Smartwings
chosen
Smartwings is a Czech low-cost airline based in Prague that operates scheduled and charter flights across Europe and to selected leisure destinations worldwide.
-
B.
E-CO Energi
E-CO Energi is a Norwegian energy company primarily involved in the production and distribution of hydroelectric power.
-
C.
Energetica
Energetica is an interactive exhibition at Amsterdam’s NEMO Science Museum that explores the principles and applications of sustainable energy and natural forces.
-
D.
Eneco
Eneco is a Dutch energy company focused on sustainable electricity, gas, and heat production and supply in the Netherlands and surrounding regions.
-
E.
PZEM
PZEM is a Dutch energy company involved in electricity generation and supply, including ownership stakes in major power facilities.
- 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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3f1a2c8190a512ccc09a080eb4 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d458902481908f79cd5a9f72f7fd |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.