Triple

T4688360
Position Surface form Disambiguated ID Type / Status
Subject Klaus E103973 entity
Predicate hasFeminineForm P1613 FINISHED
Object Klaudia
Klaudia is the feminine given name corresponding to the male name Klaus, commonly used in various European countries.
E459904 NE FINISHED

How this triple was built (4 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: Klaudia | Statement: [Klaus, hasFeminineForm, Klaudia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Klaudia
Context triple: [Klaus, hasFeminineForm, Klaudia]
  • A. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • D. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Klaudia
Triple: [Klaus, hasFeminineForm, Klaudia]
Generated description
Klaudia is the feminine given name corresponding to the male name Klaus, commonly used in various European countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Klaudia
Target entity description: Klaudia is the feminine given name corresponding to the male name Klaus, commonly used in various European countries.
  • A. Klaudija
    Klaudija is a feminine given name, commonly used in Slavic countries, that corresponds to the name Claudia.
  • B. Dagmara
    Dagmara is a feminine given name, primarily used in Slavic countries, that is a variant of the name Dagmar.
  • C. Roksana
    Roksana is a feminine given name, commonly used in various Slavic and Persian-influenced cultures, that is a variant of the name Roxana.
  • D. Katja
    Katja is a diminutive or short form of the given name Katarina, commonly used in various Slavic and European languages.
  • E. Sylwia
    Sylwia is a feminine given name, primarily used in Poland, that is a cognate of the name Sylvia.
  • F. None of above. chosen

Provenance (5 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd6397f6888190a9024a51d4d34f2b completed March 20, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03b75e3481908aa27eeaeec490ca completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be042adb8c8190b6889c3a5b9c18cc completed March 21, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69be048f7d7881908ab19bd37c92b423 completed March 21, 2026, 2:38 a.m.
Created at: March 20, 2026, 1:16 p.m.