Triple

T17350304
Position Surface form Disambiguated ID Type / Status
Subject Heins E421790 entity
Predicate hasEtymologicalRelation P5801 FINISHED
Object Heinsius NE NERFINISHED

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: Heinsius | Statement: [Heins, hasEtymologicalRelation, Heinsius]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinsius
Context triple: [Heins, hasEtymologicalRelation, Heinsius]
  • A. Heinsius chosen
    Heinsius is a Dutch surname most notably associated with Anthonie Heinsius, a prominent statesman of the Dutch Republic in the late 17th and early 18th centuries.
  • B. Hazelius
    Hazelius is a Swedish surname most notably borne by Artur Hazelius, the educator and folklorist who founded Stockholm’s Nordic Museum and Skansen open-air museum.
  • C. Finsch
    Finsch is the authority who first formally described the Fiordland crested penguin in the scientific literature.
  • D. Castrisch
    Castrisch is a village and former municipality in the canton of Graubünden in eastern Switzerland, known for its location in the Surselva region.
  • E. Wessel
    Wessel is a Norwegian surname most famously borne by naval hero Peter Tordenskjold, whose birth name was Peter Jansen Wessel.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d520008190a26917a95bf1c2ea completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a2bd0a881909e71c89773d9273c completed April 19, 2026, 2:12 a.m.
Created at: April 10, 2026, 5:44 a.m.