Triple

T4492122
Position Surface form Disambiguated ID Type / Status
Subject Noatak E100600 entity
Predicate near P350 FINISHED
Object Kotzebue E117805 NE 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: Kotzebue | Statement: [Noatak, near, Kotzebue]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kotzebue
Context triple: [Noatak, near, 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. Kondopoga
    Kondopoga is a town in the Republic of Karelia in northwestern Russia, known for its location near Lake Onega and its historical paper and pulp industry.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69bd43cdf15081909a4fa2585ff63b3e completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd556f99b48190ae60506a35b43c29 completed March 20, 2026, 2:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd67b40fd4819098636b6f29304312 completed March 20, 2026, 3:28 p.m.
Created at: March 20, 2026, 12:59 p.m.