Triple

T4107536
Position Surface form Disambiguated ID Type / Status
Subject Stempenyu E88489 entity
Predicate hasCharacter P2308 FINISHED
Object Freydl E336544 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: Freydl | Statement: [Stempenyu, hasCharacter, Freydl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Freydl
Context triple: [Stempenyu, hasCharacter, Freydl]
  • A. Freyung
    Freyung is a small town in southeastern Bavaria, Germany, known as a gateway to the Bavarian Forest region.
  • B. Elbling
    Elbling is an ancient white wine grape variety primarily cultivated in Germany and Luxembourg, known for producing light, crisp, and high-acidity wines.
  • C. Friedl chosen
    Friedl is a German diminutive form of the given name Friedrich, commonly used as a familiar or affectionate nickname.
  • D. Strelsau
    Strelsau is the fictional capital city of the kingdom of Ruritania in Anthony Hope’s adventure novel "The Prisoner of Zenda."
  • E. Zora Dirnbach
    Zora Dirnbach was a Croatian journalist, writer, and Holocaust survivor known for her work in radio, literature, and public discourse on Jewish identity and history.
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8240248190afd026a450958d4c completed March 14, 2026, 2:06 p.m.
Created at: March 9, 2026, 3:40 p.m.