Triple

T14377284
Position Surface form Disambiguated ID Type / Status
Subject Gutar E356506 entity
Predicate legalDocument P358 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: [Gutar, legalDocument, Gutasaga]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gutasaga
Context triple: [Gutar, legalDocument, 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. Talavan
    Talavan is one of the twelve sacred forests of the Vraja (Vrindavan) region in Hindu tradition, associated with the pastimes of Lord Krishna.
  • E. Finnboda
    Finnboda is a waterfront district in Nacka, Sweden, known for its former shipyard area now redeveloped into a residential and commercial neighborhood overlooking central Stockholm.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de900949fc81909be0da1734c46645 completed April 14, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bc0c9708190b5025e9675e0e925 completed May 8, 2026, 3:42 a.m.
Created at: April 10, 2026, 1:16 a.m.