Triple

T23384415
Position Surface form Disambiguated ID Type / Status
Subject Þór E593836 entity
Predicate lover P7325 FINISHED
Object Járnsaxa 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: Járnsaxa | Statement: [Þór, lover, Járnsaxa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Járnsaxa
Context triple: [Þór, lover, Járnsaxa]
  • A. Járnsaxa chosen
    Járnsaxa is a jötunn (giantess) from Norse mythology, often associated with the storm god Thor and sometimes named as the mother of his son Magni.
  • B. De Rödvita
    De Rödvita is the Swedish nickname for Assyriska FF, referring to the football club’s traditional red and white colors.
  • C. Edda
    Edda is an Italian given name most notably borne by Edda Mussolini, the eldest daughter of dictator Benito Mussolini.
  • D. Ságat
    Ságat is a Norwegian Sámi-language newspaper that serves as a key regional news source for the Sámi people.
  • E. Hagsätra
    Hagsätra is a suburban district in southern Stockholm, Sweden, known for its residential areas and connection to the city’s metro network.
  • 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_69e25d2754fc819085deea939bde60ab completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f1a497661c8190b52fa27419594989 completed April 29, 2026, 6:26 a.m.
Created at: April 17, 2026, 5:34 p.m.