Triple

T299539
Position Surface form Disambiguated ID Type / Status
Subject Microbiota E6167 entity
Predicate nativeTo P410 FINISHED
Object Primorye E2249 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: Primorye | Statement: [Microbiota, nativeTo, Primorye]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Primorye
Context triple: [Microbiota, nativeTo, Primorye]
  • A. Amur Oblast
    Amur Oblast is a federal subject of Russia located in the southeastern part of Siberia along the Amur River, bordering China and known for its resource-based economy and strategic position in the Russian Far East.
  • B. Chukotka Autonomous Okrug
    Chukotka Autonomous Okrug is a sparsely populated, resource-rich federal subject of Russia located at the northeastern tip of Siberia, across the Bering Strait from Alaska.
  • 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. 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. Russia Far East chosen
    The Russia Far East is a vast, sparsely populated region of eastern Russia known for its rugged terrain, rich natural resources, and high seismic and volcanic activity.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2e9e53b2c81909c4a15b366d94cd6 completed Feb. 28, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3b47185f48190813159f932c0af9a completed March 1, 2026, 3:37 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.