Triple

T1873836
Position Surface form Disambiguated ID Type / Status
Subject Sophia Dorothea of Hanover E39093 entity
Predicate royalRank P17683 FINISHED
Object princess of Hanover 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: princess of Hanover | Statement: [Sophia Dorothea of Hanover, royalRank, princess of Hanover]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: royalRank
Context triple: [Sophia Dorothea of Hanover, royalRank, princess of Hanover]
  • A. isRoyalTitle chosen
    Indicates that something is a formal title associated with royalty or a royal rank.
  • B. honorificRank
    Indicates that one entity holds a formal title or honorific status in relation to another entity.
  • C. rankRelativeToPeerage
    Indicates how an entity’s hierarchical rank compares to that of a specified peer or peer group within a defined ranking system.
  • D. nobleRankAbove
    Indicates that one entity holds a higher noble rank or title in a hierarchy than another entity.
  • E. positionOnMonarchy
    Indicates a stance, opinion, or policy position that an entity holds regarding the institution or system of monarchy.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
PD Predicate disambiguation batch_69abafe2b56c81909e13d543982e6e13 completed March 7, 2026, 4:56 a.m.
Created at: March 4, 2026, 7:34 p.m.