Triple

T16404906
Position Surface form Disambiguated ID Type / Status
Subject Ōita Airport E398400 entity
Predicate hasFrequentBusService P39381 FINISHED
Object Beppu E87326 NE FINISHED

How this triple was built (3 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: Beppu | Statement: [Ōita Airport, hasFrequentBusService, Beppu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beppu
Context triple: [Ōita Airport, hasFrequentBusService, Beppu]
  • A. Beppu chosen
    Beppu is a famous Japanese city on the island of Kyushu renowned for its numerous hot springs and geothermal attractions.
  • B. Beppu Jigoku
    Beppu Jigoku is a famous collection of vividly colored, steaming hot spring "hells" in Beppu, Japan, known for their dramatic geothermal landscapes and as a major sightseeing spot.
  • C. Shinshinotsu
    Shinshinotsu is a small village in Hokkaido, Japan, known for its rural landscapes, hot springs, and agricultural character.
  • D. Minamisaiwai
    Minamisaiwai is a commercial and business district in Nishi Ward, Yokohama, known for its shopping facilities and proximity to Yokohama Station.
  • E. Eboshidake
    Eboshidake is a mountain in Japan, known as one of the peaks in the volcanic landscape of the Kirishima mountain range on Kyushu.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFrequentBusService
Context triple: [Ōita Airport, hasFrequentBusService, Beppu]
  • A. hasFrequentServices
    Indicates that one entity regularly provides or receives services from another entity at short or recurring intervals.
  • B. hasBusServices chosen
    Indicates that one location or entity is served by bus routes or bus transportation provided by another.
  • C. hasPublicTransitServiceLevel
    Indicates the level or quality of public transit service provided to or available at a given location or entity.
  • D. hasPublicTransportUsage
    Indicates that an entity makes use of, or is associated with the use of, public transportation services.
  • E. hasNightBusService
    Indicates that a transportation route or stop is served by buses operating during nighttime hours.
  • F. None of above.

Provenance (4 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327d1f16481909adb19dab86dcc72 completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00c794355881908fdec356d12a5635 completed May 10, 2026, 5:59 p.m.
PD Predicate disambiguation batch_69e226fe1dd08190865c181721f8c348 completed April 17, 2026, 12:26 p.m.
Created at: April 10, 2026, 5:09 a.m.