Triple

T2317606
Position Surface form Disambiguated ID Type / Status
Subject Eugene Airport E51101 entity
Predicate FAAcode P420 FINISHED
Object EUG E117602 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: EUG | Statement: [Eugene Airport, FAAcode, EUG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EUG
Context triple: [Eugene Airport, FAAcode, EUG]
  • A. EUG chosen
    EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
  • B. Europaeum
    Europaeum is a network of leading European universities dedicated to promoting academic collaboration, European studies, and cross-border dialogue in higher education.
  • C. UECL
    The UEFA Europa Conference League (UECL) is a European club football competition organized by UEFA, positioned as the continent’s third-tier tournament below the Champions League and Europa League.
  • D. EUCO
    EUCO is the commonly used abbreviation for the European Council, the institution that defines the European Union’s overall political direction and priorities.
  • E. EURALO
    EURALO is the European Regional At-Large Organization within ICANN that represents the interests of individual internet users and civil society groups across Europe in global internet governance.
  • 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_69a88b074b908190ae983dbca7757d88 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc62df2048190ac7a5ebc0a4139b2 completed March 7, 2026, 6:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9610b420819095afb76347ddf9ee completed March 9, 2026, 9:42 a.m.
Created at: March 4, 2026, 7:49 p.m.