Triple

T15684321
Position Surface form Disambiguated ID Type / Status
Subject Lazar E380156 entity
Predicate hasDiminutive P456 FINISHED
Object Lazo E358977 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: Lazo | Statement: [Lazar, hasDiminutive, Lazo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazo
Context triple: [Lazar, hasDiminutive, Lazo]
  • A. Lazo chosen
    Lazo is a nearby settlement in Primorsky Krai, Russia, known for its proximity to the Lazovsky Nature Reserve on the Sea of Japan coast.
  • B. Laizo
    Laizo is an alternative name for the Falam Chin language spoken by the Chin people of northwestern Myanmar.
  • C. Luvale
    Luvale is a Bantu language spoken primarily in northwestern Zambia and parts of Angola by the Luvale people.
  • D. Yantzaza
    Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
  • E. Lelos
    Lelos is the nickname of Georgia's national rugby union team, known for its powerful forward play and growing presence in international rugby.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f31b5b881908e46ecd9fc6048ab completed April 16, 2026, 2:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ee740e08190aa048b374ea7bfa0 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:43 a.m.