Triple

T21402450
Position Surface form Disambiguated ID Type / Status
Subject ILR School E527944 entity
Predicate shortName P43 FINISHED
Object ILR 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: ILR | Statement: [ILR School, shortName, ILR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ILR
Context triple: [ILR School, shortName, ILR]
  • A. ILR
    ILR is the IATA airport code for Ilorin International Airport serving the city of Ilorin in Nigeria.
  • B. ILR
    ILR was the former ISO 4217 currency code for the Israeli lira, the currency used in Israel before the adoption of the shekel.
  • C. ILR scale chosen
    The ILR scale is a standardized system used primarily by U.S. government agencies to rate and describe individuals’ functional proficiency in foreign languages across multiple skill levels.
  • D. ILE
    ILE is the acronym for the Institución Libre de Enseñanza, a pioneering Spanish educational institution founded in the late 19th century that promoted liberal, secular, and progressive teaching methods.
  • E. IIL
    IIL is the commonly used abbreviation for the Institut de Droit International, a prestigious organization devoted to the study and development of international law.
  • 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_69e0b520ee3c8190abddbee7e37e834c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b171336c819083ae5e2c0f5d4b95 completed April 22, 2026, 11:30 a.m.
Created at: April 16, 2026, 5:18 p.m.