Triple
T14672270
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mærsk Mc-Kinney Møller |
E344541
|
entity |
| Predicate | ethnicGroup |
P194
|
FINISHED |
| Object | Danes |
E981223
|
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: Danes | Statement: [Mærsk Mc-Kinney Møller, ethnicGroup, Danes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danes Context triple: [Mærsk Mc-Kinney Møller, ethnicGroup, Danes]
-
A.
Danes
chosen
The Danes are a North Germanic people historically associated with the kingdom of Denmark, known for their Viking heritage and later development of a modern Scandinavian nation.
-
B.
Svear
Svear were an ancient North Germanic people of central Sweden who formed a core part of the early Swedish kingdom.
-
C.
Dania
Dania was the original name of the South Florida city now known as Dania Beach, historically recognized as one of the region’s earliest incorporated communities.
-
D.
Svea
Svea is a patriotic poem by Swedish poet Esaias Tegnér that celebrates Sweden and helped establish his reputation in early 19th-century Swedish literature.
-
E.
Vikes
Vikes is a common shortened nickname for the Minnesota Vikings, the professional American football team based in Minneapolis.
- 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_69d822e283fc8190a0e4c235cf880052 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb55064cc8190b9669d0b2da61825 |
completed | April 14, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fde17a39b88190b144b6cfcc61a4b8 |
completed | May 8, 2026, 1:13 p.m. |
Created at: April 10, 2026, 1:27 a.m.