Triple
T4228680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | König |
E94523
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Koning
Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
|
E423632
|
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: Koning | Statement: [König, hasVariant, Koning]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Koning Context triple: [König, hasVariant, Koning]
-
A.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
B.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
C.
KING
KING is a television station in Seattle, Washington, known for its local news coverage and affiliation with major U.S. broadcast networks.
-
D.
KING
KING is the stock ticker symbol for King Digital Entertainment, the video game company best known for creating the mobile puzzle game Candy Crush Saga.
-
E.
Kir Royal
Kir Royal is a classic French champagne cocktail typically made by combining crème de cassis with sparkling wine.
- 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: Koning Triple: [König, hasVariant, Koning]
Generated description
Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Koning Target entity description: Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
-
A.
König
König is a German-language surname borne by numerous individuals, including notable figures in fields such as religion, science, and the arts.
-
B.
Kœnig
Kœnig is a French surname most notably associated with figures such as General Marie-Pierre Kœnig, a prominent military leader during World War II.
-
C.
KING
KING is a television station in Seattle, Washington, known for its local news coverage and affiliation with major U.S. broadcast networks.
-
D.
KING
KING is the stock ticker symbol for King Digital Entertainment, the video game company best known for creating the mobile puzzle game Candy Crush Saga.
-
E.
Kir Royal
Kir Royal is a classic French champagne cocktail typically made by combining crème de cassis with sparkling wine.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e51817c8190bff50f2c3b5deea0 |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a85fdbe08190bcdc18a4bc456b59 |
completed | March 14, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69b5a8f374fc8190830286dfadc9bdbb |
completed | March 14, 2026, 6:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5a99a4a9c8190a7e9bbc119d8d775 |
completed | March 14, 2026, 6:31 p.m. |
Created at: March 12, 2026, 11:04 p.m.