Triple

T18292735
Position Surface form Disambiguated ID Type / Status
Subject Bilu E438156 entity
Predicate name P16 FINISHED
Object Bilu 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: Bilu | Statement: [Bilu, name, Bilu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bilu
Context triple: [Bilu, name, Bilu]
  • A. Bilu chosen
    Bilu was a pioneering Jewish movement of young idealists in the late 19th century who immigrated to Ottoman Palestine to establish agricultural settlements and promote Zionist ideals.
  • B. Bilari
    Bilari is a town in the Moradabad district of Uttar Pradesh, India, known as a local commercial and administrative center for the surrounding rural area.
  • C. Bili
    Bili is the popular nickname for Croatian football club HNK Hajduk Split, referring to the team’s traditional white kit and identity.
  • D. Bilibin
    Bilibin is a Russian surname most famously associated with Ivan Bilibin, a prominent illustrator and stage designer linked to the Russian Art Nouveau and Mir Iskusstva movements.
  • E. Bilson
    Bilson is a surname shared by various notable individuals, including figures in entertainment, sports, and other public fields.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50100d6488190bbe73668df9c4046 completed April 19, 2026, 4:21 p.m.
Created at: April 10, 2026, 10:35 a.m.