Triple
T14385984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurowings |
E356723
|
entity |
| Predicate | IATAAirlineDesignator |
P2569
|
FINISHED |
| Object | EW |
E18719
|
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: EW | Statement: [Eurowings, IATAAirlineDesignator, EW]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: EW Context triple: [Eurowings, IATAAirlineDesignator, EW]
-
A.
EW
chosen
EW is the common abbreviation for Entertainment Weekly, a popular American magazine and website covering movies, television, music, books, and pop culture.
-
B.
EW
EW is the stock ticker symbol for Edwards Lifesciences, a medical technology company best known for its heart valves and critical care monitoring products.
-
C.
Ev
Ev is a short, informal diminutive of the given name Evan, often used as a casual nickname.
-
D.
Em
Em is a common shortened form of the given name Emma, often used as an informal nickname.
-
E.
EG
EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9025cff881908c08224d90d9f750 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd5513e8888190bc6b6cb33fd9b670 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.