Triple

T1521929
Position Surface form Disambiguated ID Type / Status
Subject Klein E32247 entity
Predicate hasVariant P455 FINISHED
Object Kleinová E32247 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: Kleinová | Statement: [Klein, hasVariant, Kleinová]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kleinová
Context triple: [Klein, hasVariant, Kleinová]
  • A. Klein chosen
    Klein is a common German and Ashkenazi Jewish surname borne by many notable figures across politics, arts, science, and business.
  • B. Käina
    Käina is a small settlement on the Estonian island of Hiiumaa, known for its coastal landscapes and traditional rural character.
  • C. Kinana
    Kinana is an ancient Arab tribal confederation regarded as one of the major ancestral tribes of the Quraysh and other prominent groups in the Arabian Peninsula.
  • D. Ema
    Ema is a given name used as a variant spelling of Emma in various languages and cultures.
  • E. Le Niêsant
    Le Niêsant is a small islet within the Les Minquiers reef and island group in the Channel Islands, known for its remote, tidal environment.
  • 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_69a885e9b0ac819093a9806ad0efc82c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a907fe8b0c8190a765afd3a10ee5e0 completed March 5, 2026, 4:35 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad294f9e2481909f1d685d7f083c6a completed March 8, 2026, 7:46 a.m.
Created at: March 4, 2026, 7:26 p.m.