Triple

T6594608
Position Surface form Disambiguated ID Type / Status
Subject Hokkaido Air System E148443 entity
Predicate notableRouteCharacteristic P10970 FINISHED
Object short-haul routes LITERAL 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: short-haul routes | Statement: [Hokkaido Air System, notableRouteCharacteristic, short-haul routes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: notableRouteCharacteristic
Context triple: [Hokkaido Air System, notableRouteCharacteristic, short-haul routes]
  • A. notableRouteFeature chosen
    Indicates that a route is associated with a distinctive or significant feature, such as a landmark, characteristic terrain, or other notable aspect along its path.
  • B. notableRouteType
    Indicates that a route is particularly significant or well-known for a specific type or category (e.g., scenic, historic, commercial).
  • C. routeNetworkCharacteristic
    Indicates a relationship where a specific characteristic or property is attributed to a route within a network.
  • D. notableLocationFeature
    Indicates that a location is characterized or distinguished by a particular notable physical or contextual feature.
  • E. notableFeatureOn
    Indicates that one entity is a prominent or distinguishing feature located on or part of another entity.
  • F. None of above.

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_69c687e7b8688190811ffee72e096468 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6cc9c6cb0819084fec8e0beb430de completed March 27, 2026, 6:29 p.m.
PD Predicate disambiguation batch_69c6acfd17388190bd0bb8b2371e7df1 completed March 27, 2026, 4:14 p.m.
Created at: March 27, 2026, 1:55 p.m.