Triple

T8283345
Position Surface form Disambiguated ID Type / Status
Subject DUS E193731 entity
Predicate hasICAOCode P419 FINISHED
Object EDDL E723399 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: EDDL | Statement: [DUS, hasICAOCode, EDDL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EDDL
Context triple: [DUS, hasICAOCode, EDDL]
  • A. EDDL chosen
    EDDL is the ICAO airport code for Düsseldorf Airport, a major international airport in Düsseldorf, Germany.
  • B. EDD
    EDD is the California state agency responsible for administering unemployment insurance, disability insurance, paid family leave, and various workforce and labor market programs.
  • C. EDD
    EDD is the National Rail station code for Eddington railway station in the United Kingdom.
  • D. EDL
    EDL is the IATA airport code for Eldoret International Airport, a key air transport hub in western Kenya.
  • E. EDL
    EDL is the National Rail station code for Edale railway station in Derbyshire, England, which serves the village of Edale in the Peak District.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7aceec8881909cdfa488dfedc0f5 completed March 31, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd952399dc8190914951d4e9e36c38 completed April 1, 2026, 9:58 p.m.
Created at: March 30, 2026, 5:52 p.m.