Triple

T22301403
Position Surface form Disambiguated ID Type / Status
Subject Southern Lurs E551265 entity
Predicate ethnicLanguage P11430 FINISHED
Object Luri NE NERFINISHED

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: Luri | Statement: [Southern Lurs, ethnicLanguage, Luri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Luri
Context triple: [Southern Lurs, ethnicLanguage, Luri]
  • A. Luri chosen
    Luri is a Southwestern Iranian language spoken primarily by the Lur people in western and southwestern Iran.
  • B. Luri
    Luri is a commune in the Haute-Corse department on the island of Corsica in France, known for its scenic valley and coastal landscapes.
  • C. Liluah
    Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
  • D. Luro
    Luro is an administrative post and rural area in eastern Timor-Leste known for its mountainous terrain and traditional villages.
  • E. Luti
    Luti is an Italian surname most notably associated with Margherita Luti, traditionally identified as the model for Raphael’s famous painting "La Fornarina."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e46c0188190800181a4233f28fe completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f157245ee481909a7a3397de3ae355 completed April 29, 2026, 12:56 a.m.
Created at: April 16, 2026, 8:41 p.m.