Triple

T2944743
Position Surface form Disambiguated ID Type / Status
Subject Károly E79472 entity
Predicate hasDiminutive P456 FINISHED
Object Kareszka E311840 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: Kareszka | Statement: [Károly, hasDiminutive, Kareszka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kareszka
Context triple: [Károly, hasDiminutive, Kareszka]
  • A. Karesz chosen
    Karesz is a Hungarian diminutive form of the male given name Károly.
  • B. Bisztynek
    Bisztynek is a small historic town in northern Poland, located in the Warmian-Masurian Voivodeship and known for its traditional architecture and regional cultural heritage.
  • C. Porąbka
    Porąbka is a village in southern Poland, known as the birthplace of communist-era leader Edward Gierek.
  • D. Kruszewnia
    Kruszewnia is a village in western Poland notable as the birthplace of German World War I general Erich Ludendorff.
  • E. Korsze
    Korsze is a small town in northern Poland, situated in the Warmian-Masurian Voivodeship and known as a local rail and service center for the surrounding rural area.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad98b2752481908ec6f9a9cc24c0a7 completed March 8, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc7584588190a8f67621406636ed completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:56 p.m.