Triple

T22251613
Position Surface form Disambiguated ID Type / Status
Subject Zsófia E549991 entity
Predicate derivedFrom P909 FINISHED
Object Sophia 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: Sophia | Statement: [Zsófia, derivedFrom, Sophia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia
Context triple: [Zsófia, derivedFrom, Sophia]
  • A. Sophia
    Sophia of the Palatinate was a 17th-century German princess and Electress of Hanover, best known as the mother of King George I of Great Britain and a key figure in the Protestant succession to the British throne.
  • B. Sophia
    Sophia is a philosophical and theological concept signifying divine wisdom, often personified and associated with the rational principle of the cosmos.
  • C. Sophia
    Sophia is a person whose given name is used in the full name Sophia Chew Nicklin Dallas.
  • D. Sophia
    Sophia is a small town located in Raleigh County in the southern part of West Virginia, United States.
  • E. Sophia chosen
    Sophia is a feminine given name of Greek origin meaning "wisdom," widely used across many cultures and languages.
  • 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_69e11e41d9408190bd770cf282e22753 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138befa208190877760dec1896740 completed April 28, 2026, 10:46 p.m.
Created at: April 16, 2026, 8:39 p.m.