Triple

T8741637
Position Surface form Disambiguated ID Type / Status
Subject Laz language E207514 entity
Predicate autonym P1435 FINISHED
Object Lazuri nena E751361 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: Lazuri nena | Statement: [Laz language, autonym, Lazuri nena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lazuri nena
Context triple: [Laz language, autonym, Lazuri nena]
  • A. Lazuri chosen
    Lazuri is a South Caucasian (Kartvelian) language traditionally spoken by the Laz people along the Black Sea coast of Turkey and Georgia.
  • B. Lusei
    Lusei are a major clan of the Mizo people of Northeast India, historically influential in shaping Mizo culture, language, and social organization.
  • C. Laynez
    Laynez is a variant spelling of the Spanish surname Laínez, historically associated with figures such as Diego Laínez, a prominent 16th-century Jesuit.
  • D. Lunan
    Lunan is a small coastal settlement in Angus, Scotland, known for its proximity to the scenic Lunan Bay beach.
  • E. Luz
    Luz is a small coastal settlement on Graciosa Island in Portugal’s Azores archipelago.
  • 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_69ca835a03a081909d4d4cd01a18c9fb completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5d6fd5dc8190906b7147f27c5d46 completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf6ef8d7f88190aea21c82da47e4a0 completed April 3, 2026, 7:40 a.m.
Created at: March 30, 2026, 6:38 p.m.