Triple

T1156136
Position Surface form Disambiguated ID Type / Status
Subject Yakutsk E23786 entity
Predicate alsoKnownAs P39 FINISHED
Object Якутск E23786 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: Якутск | Statement: [Yakutsk, alsoKnownAs, Якутск]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Якутск
Context triple: [Yakutsk, alsoKnownAs, Якутск]
  • A. Yakutsk chosen
    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.
  • B. 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.
  • C. Khabarovsk
    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.
  • D. 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.
  • E. Irkutsk, Russia
    Irkutsk, Russia is a historic Siberian city near Lake Baikal known for its role as a cultural and educational center in eastern Russia.
  • 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_69a493f0d32c8190ac74bad3c87f2641 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4bc912300819084c9c69783055a70 completed March 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad67f0651881909314e8761a7a7a5b completed March 8, 2026, 12:13 p.m.
Created at: March 1, 2026, 7:44 p.m.