Triple

T3547431
Position Surface form Disambiguated ID Type / Status
Subject Alfheim E75029 entity
Predicate mentionedIn P831 FINISHED
Object Grímnismál E361316 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: Grímnismál | Statement: [Alfheim, mentionedIn, Grímnismál]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grímnismál
Context triple: [Alfheim, mentionedIn, Grímnismál]
  • A. Grímnismál chosen
    Grímnismál is an Old Norse mythological poem in which Odin, disguised and tortured, reveals extensive cosmological and divine lore.
  • B. Vafþrúðnismál
    Vafþrúðnismál is an Old Norse mythological poem in the Poetic Edda that recounts a wisdom contest between the god Odin and the giant Vafþrúðnir.
  • C. Þrymskviða
    Þrymskviða is an Old Norse mythological poem best known for its humorous tale of the giant Þrymr stealing Thor’s hammer and Thor disguising himself as the goddess Freyja to retrieve it.
  • D. Skírnismál
    Skírnismál is an Old Norse poem from the Poetic Edda that recounts the god Freyr’s wooing of the giantess Gerðr through his servant Skírnir.
  • E. Hymiskviða
    Hymiskviða is an Old Norse Eddic poem that recounts the mythic exploits of the gods—especially Thor and the giant Hymir—within the broader corpus of Norse mythology.
  • 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_69ad85d33c6c819081d5ac1df13b5680 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbfd0eb6081908f1380db4cfade87 completed March 8, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4daf2b170819095a337246675e4c4 completed March 14, 2026, 3:50 a.m.
Created at: March 8, 2026, 3:20 p.m.