Triple

T22397707
Position Surface form Disambiguated ID Type / Status
Subject Ilam Province E553678 entity
Predicate hasEthnicGroup P1898 FINISHED
Object Lurs 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: Lurs | Statement: [Ilam Province, hasEthnicGroup, Lurs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lurs
Context triple: [Ilam Province, hasEthnicGroup, Lurs]
  • A. Lurs chosen
    Lurs are an Iranian ethnic group primarily inhabiting western and southwestern Iran, known for their distinct Luri language and rich tribal and pastoral traditions.
  • B. Lursa
    Lursa is a recurring Klingon antagonist in the Star Trek franchise, known as one of the scheming Duras sisters who frequently challenge the Klingon Empire’s leadership.
  • C. Luras
    Luras is a small town in the Gallura region of northern Sardinia, Italy, known for its traditional stone architecture and nearby ancient olive trees.
  • D. Lurö
    Lurö is an alternative name for the Teressa language, a Nicobarese language spoken in India’s Nicobar Islands.
  • E. Lurk
    Lurk is a highly acclaimed Chinese espionage television drama series known for its intricate plotting and nuanced portrayal of undercover agents during the Chinese Civil War era.
  • 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_69e11e4da7048190b4387d422a9a0de5 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f1585f67108190b8d3f23eaa0ed120 completed April 29, 2026, 1:01 a.m.
Created at: April 16, 2026, 8:46 p.m.