Triple

T28369142
Position Surface form Disambiguated ID Type / Status
Subject Comte d’Albanie E718575 entity
Predicate usedToAvoid P6275 FINISHED
Object direct royal styling in foreign courts 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: direct royal styling in foreign courts | Statement: [Comte d’Albanie, usedToAvoid, direct royal styling in foreign courts]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usedToAvoid
Context triple: [Comte d’Albanie, usedToAvoid, direct royal styling in foreign courts]
  • A. designedToAvoid
    Indicates that something was intentionally created or configured in a way that prevents or minimizes a particular outcome, condition, or interaction.
  • B. designedToBeAvoided
    Indicates that something is intentionally created or arranged in a way that people should avoid using, encountering, or engaging with it.
  • C. avoidedFor
    Indicates that one entity is deliberately not used, chosen, or engaged with because of the presence, influence, or characteristics of another entity.
  • D. nameUsedToAvoid chosen
    Indicates that one entity uses a particular name or designation in order to avoid another entity or an unwanted situation involving that entity.
  • E. seeksToAvoid
    Indicates an entity’s intention or effort to stay away from, prevent, or not experience another entity or situation.
  • 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_69eff6ed5af48190be4e0adf298223e0 completed April 27, 2026, 11:53 p.m.
NER Named-entity recognition batch_69f68f670b608190a0b6ab60d722b4e0 completed May 2, 2026, 11:57 p.m.
PD Predicate disambiguation batch_69f68b78f29481908cc8f390496dee97 completed May 2, 2026, 11:40 p.m.
Created at: April 28, 2026, 12:58 a.m.