Triple

T17614270
Position Surface form Disambiguated ID Type / Status
Subject Útgarðr E429041 entity
Predicate contrastedConceptuallyWith P21665 FINISHED
Object innangarðs (within the enclosure) LITERAL 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: innangarðs (within the enclosure) | Statement: [Útgarðr, contrastedConceptuallyWith, innangarðs (within the enclosure)]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: contrastedConceptuallyWith
Context triple: [Útgarðr, contrastedConceptuallyWith, innangarðs (within the enclosure)]
  • A. oftenContrastedWith
    Indicates that one entity is frequently compared to another in a way that highlights their differences or opposing characteristics.
  • B. contrastedWithObject
    Indicates that one entity is explicitly compared to another by highlighting their differences or opposing characteristics.
  • C. hasConceptualOpposite chosen
    Indicates that one entity represents a concept that is fundamentally opposed or contrary in meaning to the concept represented by another entity.
  • D. traditionalContrastWith
    Indicates a relationship where one tradition, practice, or belief is explicitly set in opposition or difference to another, highlighting their contrasting characteristics.
  • E. exploresContrastBetween
    Indicates a relationship in which one entity examines, highlights, or analyzes the differences or oppositions between two or more entities, ideas, or situations.
  • F. None of above.

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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d2fd96481908c9f3b566fca6907 completed April 19, 2026, 5:50 a.m.
PD Predicate disambiguation batch_69e3cdd7da34819099bc9481c5a79bab completed April 18, 2026, 6:30 p.m.
Created at: April 10, 2026, 5:51 a.m.