Triple

T20272806
Position Surface form Disambiguated ID Type / Status
Subject EDDM E502932 entity
Predicate hasICAOCode P419 FINISHED
Object EDDM 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: EDDM | Statement: [EDDM, hasICAOCode, EDDM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDDM
Context triple: [EDDM, hasICAOCode, EDDM]
  • A. EDDM chosen
    EDDM is the ICAO airport code for Munich Airport, a major international aviation hub in Germany.
  • B. EDDS
    EDDS is the ICAO airport code designating Stuttgart Airport in Germany.
  • C. EDDT
    EDDT is the ICAO airport code for Berlin Tegel Airport, the former main international airport of Berlin, Germany.
  • D. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • E. EDD
    EDD is the National Rail station code for Eddington railway station in the United Kingdom.
  • 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675dff3c4819098ba45eba4e7b296 completed April 20, 2026, 6:52 p.m.
Created at: April 16, 2026, 10:15 a.m.