Triple

T15204634
Position Surface form Disambiguated ID Type / Status
Subject Skírnismál E363357 entity
Predicate featuresCharacter P626 FINISHED
Object Skaði E359874 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: Skaði | Statement: [Skírnismál, featuresCharacter, Skaði]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Skaði
Context triple: [Skírnismál, featuresCharacter, Skaði]
  • A. Skaði chosen
    Skaði is a giantess and goddess in Norse mythology associated with skiing, winter, and mountains, known for her marriage to the god Njord.
  • B. Reykvíkingur
    Reykvíkingur is the Icelandic term for a resident or native of Reykjavík, the capital city of Iceland.
  • C. Lífþrasir
    Lífþrasir is a human figure in Norse mythology who, alongside Líf, is foretold to repopulate the world after the cataclysmic events of Ragnarök.
  • D. Thora
    Thora is a small rural locality in New South Wales, Australia, situated in the Bellingen Valley near the Bellinger River.
  • E. Gleipnir
    Gleipnir is the magically forged, deceptively thin binding in Norse mythology that successfully restrains the monstrous wolf Fenrir.
  • 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e006b7964c8190bc8dc3444b94f15e completed April 15, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69fed33b911c8190815341a342a8d3c8 completed May 9, 2026, 6:24 a.m.
Created at: April 10, 2026, 3:11 a.m.