Triple

T5899687
Position Surface form Disambiguated ID Type / Status
Subject Ingeborg E131189 entity
Predicate hasVariant P455 FINISHED
Object Ingeburg E131189 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: Ingeburg | Statement: [Ingeborg, hasVariant, Ingeburg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ingeburg
Context triple: [Ingeborg, hasVariant, Ingeburg]
  • A. Ingeborg chosen
    Ingeborg is a feminine given name of Germanic origin, commonly used in German-speaking and Scandinavian countries.
  • B. Ingegerd Olofsdotter
    Ingegerd Olofsdotter was an 11th-century Swedish princess who became Grand Princess of Kiev and a significant political figure in medieval Northern and Eastern Europe.
  • C. Ottla
    Ottla was the beloved younger sister of writer Franz Kafka, known from his diaries and letters for her close relationship with him and her tragic death in the Holocaust.
  • D. Ingeborg Eriksdotter of Sweden
    Ingeborg Eriksdotter of Sweden was a 13th-century Swedish princess of the House of Eric who became a powerful political figure through her marriage to statesman Birger Jarl and as mother of King Valdemar of Sweden.
  • E. Kunegunda
    Kunegunda is a feminine given name of Polish origin, historically borne by European nobility such as Theresa Kunegunda Sobieska.
  • 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_69c0085864a88190a569c05ff7d65f29 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0373320cc8190bfdb2b09236f55a5 completed March 22, 2026, 6:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b15df86481908b59717b9de63655 completed March 23, 2026, 3:19 a.m.
Created at: March 22, 2026, 3:58 p.m.