Triple

T4901959
Position Surface form Disambiguated ID Type / Status
Subject Northern Sea Route region E109820 entity
Predicate hasNavigationChallenges P22896 FINISHED
Object sea ice 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: sea ice | Statement: [Northern Sea Route region, hasNavigationChallenges, sea ice]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNavigationChallenges
Context triple: [Northern Sea Route region, hasNavigationChallenges, sea ice]
  • A. hasNavigationHazard chosen
    Indicates that something presents or contains a condition, object, or feature that poses a risk or obstacle to safe navigation.
  • B. hasNavigationCharacteristic
    Indicates that an entity possesses a specific property, feature, or quality related to navigation or navigational behavior.
  • C. hasNavigationKnowledge
    Indicates that an entity possesses information or expertise related to navigating or determining routes within an environment or system.
  • D. hasNavigationUse
    Indicates that something is used for navigation or serves a navigational function in relation to another entity.
  • E. designedForNavigationImprovement
    Indicates that something was intentionally created or configured to enhance the ease, efficiency, or accuracy of navigation.
  • 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_69bd441180708190ba42ffb44fea533a completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd706245e48190a61d573438461c30 completed March 20, 2026, 4:05 p.m.
PD Predicate disambiguation batch_69bd6c306b188190a08a7856beb76db4 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:28 p.m.