Triple

T1984203
Position Surface form Disambiguated ID Type / Status
Subject Envoy Air E43101 entity
Predicate ICAOCode P419 FINISHED
Object EGF E223156 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: EGF | Statement: [Envoy Air, ICAOCode, EGF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGF
Context triple: [Envoy Air, ICAOCode, EGF]
  • A. EGF chosen
    EGF is the ICAO airline designator used to identify American Eagle Airlines in aviation operations and communications.
  • B. Epi
    Epi is a volcanic island in central Vanuatu known for its lush landscapes, traditional villages, and surrounding coral reefs.
  • C. EPI
    EPI is the abbreviation for Exploding Plastic Inevitable, the multimedia performance series created by Andy Warhol that combined live music, film projections, and avant-garde art in the 1960s.
  • D. EPI
    EPI is a global public health initiative led by the World Health Organization that aims to ensure universal access to routine, life-saving vaccinations, particularly for children.
  • E. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • 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_69a88713ddc88190a969715658ebe7a8 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb820815481908aac6d89b437225b completed March 7, 2026, 5:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae0ad53ccc8190b0e0f44cfddfe9a4 completed March 8, 2026, 11:48 p.m.
Created at: March 4, 2026, 7:37 p.m.