Triple

T6805167
Position Surface form Disambiguated ID Type / Status
Subject Iturup E156285 entity
Predicate hasSettlement P1068 FINISHED
Object Kurilsk E169999 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: Kurilsk | Statement: [Iturup, hasSettlement, Kurilsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kurilsk
Context triple: [Iturup, hasSettlement, Kurilsk]
  • A. Kurilsk chosen
    Kurilsk is a small Russian town on Iturup Island in the Kuril archipelago, serving as an administrative and fishing center in the North Pacific.
  • B. Severo-Kurilsk
    Severo-Kurilsk is a small town on Paramushir Island in Russia’s Kuril Islands, known for its remote location, fishing industry, and history of seismic and volcanic activity.
  • 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. Kotzebue
    Kotzebue is a remote city in northwestern Alaska located above the Arctic Circle, known as a regional hub for transportation, commerce, and Inupiat culture.
  • E. Yuzhno-Kurilsk
    Yuzhno-Kurilsk is a small Russian urban-type settlement on Kunashir Island, serving as an administrative and economic center in the southern Kuril Islands.
  • 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_69c68826e6a48190a3d220b541e639de completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2ea459c819095388218d53c250a completed March 27, 2026, 6:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723d525bc8190aaf2390d690dc6a6 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:16 p.m.