Triple

T3776131
Position Surface form Disambiguated ID Type / Status
Subject Seville Airport E83311 entity
Predicate hasNavigationAid P8170 FINISHED
Object VOR/DME E257669 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: VOR/DME | Statement: [Seville Airport, hasNavigationAid, VOR/DME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOR/DME
Context triple: [Seville Airport, hasNavigationAid, VOR/DME]
  • A. VOR/DME chosen
    VOR/DME is a ground-based radio navigation system that provides aircraft with both bearing and distance information to aid en-route and approach navigation.
  • B. SAN VORTAC
    SAN VORTAC is a ground-based radio navigation facility (combining VOR and TACAN) serving the San Diego International Airport area for en-route and approach guidance.
  • C. LORAN
    LORAN is a long-range terrestrial radio navigation system originally developed for maritime and aviation positioning before the advent of satellite-based GPS.
  • D. Knickebein radio navigation system
    The Knickebein radio navigation system was a World War II German Luftwaffe beam-guidance technology used to direct bombers accurately to their targets at night and in poor visibility.
  • E. Aviation Navigation
    Aviation Navigation is the practice and technology of guiding aircraft safely and efficiently along planned routes using instruments, radio aids, and satellite-based systems.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5be3c48190a72e840d8214bb74 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4e53209888190823412fabacbc914 completed March 14, 2026, 4:33 a.m.
Created at: March 8, 2026, 3:36 p.m.