Triple

T6445937
Position Surface form Disambiguated ID Type / Status
Subject Saipan International Airport E138341 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: [Saipan International Airport, hasNavigationAid, VOR/DME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: VOR/DME
Context triple: [Saipan International 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. TACAN
    TACAN is a military tactical air navigation system that provides aircraft with precise bearing and distance information to a ground station.
  • C. Non-Directional Beacons
    Non-directional beacons are ground-based radio transmitters that emit signals in all directions to help aircraft determine their bearing and navigate, especially in low-visibility conditions.
  • D. 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.
  • E. LORAN
    LORAN is a long-range terrestrial radio navigation system originally developed for maritime and aviation positioning before the advent of satellite-based GPS.
  • 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_69c008aa61ac8190bc96715ed79fe2d8 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0698d866c81909ef3e0a53833ff7d completed March 22, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c64bcd09e0819097eb60d13e8058dd completed March 27, 2026, 9:20 a.m.
Created at: March 22, 2026, 4:46 p.m.