Triple

T3441695
Position Surface form Disambiguated ID Type / Status
Subject Gutes E72578 entity
Predicate associatedDocument P4310 FINISHED
Object Gutasaga E72576 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: Gutasaga | Statement: [Gutes, associatedDocument, Gutasaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutasaga
Context triple: [Gutes, associatedDocument, Gutasaga]
  • A. Gutasaga chosen
    Gutasaga is a medieval Old Gutnish saga that recounts the legendary origins, history, and laws of the people of Gotland.
  • B. Edda
    Edda is an Italian given name most notably borne by Edda Mussolini, the eldest daughter of dictator Benito Mussolini.
  • C. Egvekinot
    Egvekinot is a remote urban-type settlement and port on the coast of the Bering Sea in Russia’s Far East, serving as an important local center in the Chukotka region.
  • D. Godigisel
    Godigisel was a late 4th–early 5th century king of the Vandals who led his people across the Rhine into Roman Gaul and was the father of the Vandal king Genseric.
  • E. Hestur
    Hestur is a small, sparsely populated island in the central Faroe Islands known for its steep cliffs, birdlife, and traditional Faroese landscape.
  • 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_69ad85af50288190a854b76653deee6f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adba276b708190949f294a8d09ec7b completed March 8, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69b360d0beb08190921d7cfe6b86eab2 completed March 13, 2026, 12:56 a.m.
Created at: March 8, 2026, 3:16 p.m.