Triple

T20668274
Position Surface form Disambiguated ID Type / Status
Subject Ralph Wien Memorial Airport E507948 entity
Predicate cityServed P82 FINISHED
Object Kotzebue 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: Kotzebue | Statement: [Ralph Wien Memorial Airport, cityServed, Kotzebue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotzebue
Context triple: [Ralph Wien Memorial Airport, cityServed, Kotzebue]
  • A. Kotzebue chosen
    Kotzebue is a remote city in northwestern Alaska located above the Arctic Circle, known as a regional hub for transportation, commerce, and Inupiat culture.
  • B. Kurilsk
    Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
  • C. Kholmsk
    Kholmsk is a port town on the western coast of Sakhalin Island in Russia, serving as an important maritime transport hub in the Sea of Japan.
  • D. Kotlas
    Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
  • E. Nevelsk
    Nevelsk is a small port town on the southwest coast of Sakhalin Island in Russia, facing the Sea of Japan.
  • 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_69e0b4c059bc81908ea762cd73ea4424 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5c4c4608190ae17da4a59e5ae80 completed April 20, 2026, 11:24 p.m.
Created at: April 16, 2026, 11:44 a.m.