Triple

T821438
Position Surface form Disambiguated ID Type / Status
Subject Amur River E17754 entity
Predicate cityOnRiver P165 FINISHED
Object Khabarovsk E23365 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: Khabarovsk | Statement: [Amur River, cityOnRiver, Khabarovsk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khabarovsk
Context triple: [Amur River, cityOnRiver, Khabarovsk]
  • A. Khabarovsk chosen
    Khabarovsk is a major city in Russia’s Far East, located near the Chinese border on the Amur River and serving as an important administrative, cultural, and transportation center.
  • B. Vladivostok
    Vladivostok is a major Russian port city on the Pacific Ocean, serving as the eastern terminus of the Trans-Siberian Railway and a key naval and commercial hub near the borders with China and North Korea.
  • C. Yakutsk
    Yakutsk is a major city in northeastern Siberia, Russia, known as one of the coldest large cities in the world and a key administrative and cultural center of the Sakha Republic.
  • D. Magadan
    Magadan is a remote port city in Russia’s Far East, known historically as a gateway to the Kolyma region and its former Gulag labor camps.
  • E. Khabarovsk Krai
    Khabarovsk Krai is a large federal subject in Russia’s Far East, known for its vast wilderness, diverse landscapes, and significant natural resources.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab7aea38819092a0860ec6e2a033 completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7edfcb7a88190b3670c6ef2b93609 completed March 4, 2026, 8:31 a.m.
Created at: March 1, 2026, 7:38 p.m.