Triple

T16359085
Position Surface form Disambiguated ID Type / Status
Subject Thalassia testudinum E397263 entity
Predicate authority P1330 FINISHED
Object König E94523 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: König | Statement: [Thalassia testudinum, authority, König]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: König
Context triple: [Thalassia testudinum, authority, König]
  • A. König chosen
    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. Koning
    Koning is a Dutch surname and term meaning “king,” commonly used in the Netherlands and Belgium.
  • D. Kaiservilla
    Kaiservilla is a former imperial summer residence in Bad Ischl, Austria, best known as the retreat of Emperor Franz Joseph I and Empress Elisabeth of Austria.
  • E. Hochkönig
    Hochkönig is the highest mountain of the Berchtesgaden Alps in Austria, known for its prominent limestone massif and popular alpine climbing and skiing routes.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2fad1859c819082b47bf9d7fabd9f completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dbaacd88190b2c90c5be2832307 completed May 10, 2026, 7:03 a.m.
Created at: April 10, 2026, 5:07 a.m.