Triple

T1156168
Position Surface form Disambiguated ID Type / Status
Subject Yakutsk E23786 entity
Predicate transportConnectionToRestOfRussia P11026 FINISHED
Object road via winter ice roads and seasonal ferry 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: road via winter ice roads and seasonal ferry | Statement: [Yakutsk, transportConnectionToRestOfRussia, road via winter ice roads and seasonal ferry]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: transportConnectionToRestOfRussia
Context triple: [Yakutsk, transportConnectionToRestOfRussia, road via winter ice roads and seasonal ferry]
  • A. otherMoscowAirport
    Indicates that one airport is another airport located in Moscow, distinguishing between multiple Moscow-area airports.
  • B. transportFor
    Indicates a relationship where one entity serves as the means or service used to move another entity from one place to another.
  • C. hasTransportRoute chosen
    Indicates that there exists a designated transportation connection or route linking one entity to another.
  • D. transportHubType
    Indicates the specific category or kind of transport hub associated with an entity (e.g., airport, train station, bus terminal).
  • E. otherMajorMoscowAirports
    Indicates that the referenced airports are major airports serving Moscow other than the primary one under consideration.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc912300819084c9c69783055a70 completed March 1, 2026, 10:24 p.m.
PD Predicate disambiguation batch_69a4bb50d19c81908a98dbbb04a8906f completed March 1, 2026, 10:18 p.m.
Created at: March 1, 2026, 7:44 p.m.