Triple

T14457233
Position Surface form Disambiguated ID Type / Status
Subject Leszek E358487 entity
Predicate relatedName P3889 FINISHED
Object Lestek E1100329 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: Lestek | Statement: [Leszek, relatedName, Lestek]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lestek
Context triple: [Leszek, relatedName, Lestek]
  • A. Lestek chosen
    Lestek is a masculine given name of Slavic origin, historically associated with early Polish rulers.
  • B. Leitak
    Leitak is a dialectal variety of the Hakha Chin language spoken by a specific Chin community.
  • C. Lentekhi
    Lentekhi is a small mountain town in northwestern Georgia, serving as a local center in the historic Racha-Lechkhumi and Svaneti region.
  • D. Leyhof
    Leyhof is a residential neighborhood in the Dutch town of Leiderdorp, located in the province of South Holland.
  • E. Krewo
    Krewo is a historic village in present-day Belarus, best known as the site where the Union of Krewo was concluded in 1385, marking a pivotal dynastic union between the Kingdom of Poland and the Grand Duchy of Lithuania.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d890be88190afe61dde0d1e75a8 completed May 8, 2026, 4:58 a.m.
Created at: April 10, 2026, 1:19 a.m.