Triple

T17841213
Position Surface form Disambiguated ID Type / Status
Subject Bulunsky District E445530 entity
Predicate hasPort P35 FINISHED
Object Tiksi seaport NE NERFINISHED

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: Tiksi seaport | Statement: [Bulunsky District, hasPort, Tiksi seaport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiksi seaport
Context triple: [Bulunsky District, hasPort, Tiksi seaport]
  • A. Tiksi seaport chosen
    Tiksi seaport is an Arctic Russian port on the Laptev Sea that serves as a key hub for the Northern Sea Route and regional supply in the Sakha Republic.
  • B. The Port
    The Port is a diverse, historically working-class neighborhood in Cambridge, Massachusetts, known for its residential character and proximity to Central Square.
  • C. Überseehafen
    Überseehafen is a major overseas port facility in Bremerhaven, Germany, serving as an important hub for international maritime trade and cargo handling.
  • D. Sea Terminal
    Sea Terminal is the main ferry and passenger terminal in Douglas, Isle of Man, serving as a key transport hub for sea travel to and from the island.
  • E. The Port of Ibben
    The Port of Ibben is a remote, icy harbor city in the far north of Essos known for its whaling fleets, hardy Ibbenese inhabitants, and trade in whale oil and other northern goods.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e48d2b2ea08190926ec0cf01285833 completed April 19, 2026, 8:07 a.m.
Created at: April 10, 2026, 10:16 a.m.