Triple

T8563261
Position Surface form Disambiguated ID Type / Status
Subject George Lucas Educational Foundation E202739 entity
Predicate hasAcronym P43 FINISHED
Object GLEF E202739 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: GLEF | Statement: [George Lucas Educational Foundation, hasAcronym, GLEF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GLEF
Context triple: [George Lucas Educational Foundation, hasAcronym, GLEF]
  • A. GLEF chosen
    GLEF is the acronym for the George Lucas Educational Foundation, a nonprofit organization founded by filmmaker George Lucas to promote innovative, research-based improvements in K–12 education.
  • B. GECF
    GECF is an international organization that brings together major natural gas exporting countries to coordinate policies and promote cooperation in the global gas market.
  • C. EGLF
    EGLF is the ICAO airport code for Farnborough Airport, a major business aviation hub in Hampshire, England.
  • D. GUF
    GUF is the three-letter ISO 3166-1 alpha-3 country code assigned to French Guiana.
  • E. GDL
    GDL is the IATA airport code for Miguel Hidalgo y Costilla Guadalajara International Airport, the main international gateway serving Guadalajara, Mexico.
  • 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_69ca8326e6c881908ff720d6abaebdc5 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe9cfc4a48190ae4530d3614d115f completed March 31, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce895f91bc819099b1b2df59374403 completed April 2, 2026, 3:21 p.m.
Created at: March 30, 2026, 6:20 p.m.