Triple

T13149675
Position Surface form Disambiguated ID Type / Status
Subject Totma E312430 entity
Predicate isAdministrativeCenterOf P1474 FINISHED
Object Totemsky District E1089448 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: Totemsky District | Statement: [Totma, isAdministrativeCenterOf, Totemsky District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Totemsky District
Context triple: [Totma, isAdministrativeCenterOf, Totemsky District]
  • A. Totemsky District chosen
    Totemsky District is an administrative district (raion) in Vologda Oblast, Russia, centered around the historic town of Totma.
  • B. Khabarovsky District
    Khabarovsky District is an administrative and municipal district (raion) located within Khabarovsk Krai in the Russian Far East.
  • C. Olenyoksky District
    Olenyoksky District is a large, sparsely populated administrative district in the Sakha Republic (Yakutia), Russia, known for its Arctic climate and remote indigenous communities.
  • D. Tuapsinsky District
    Tuapsinsky District is an administrative district in Krasnodar Krai, Russia, located on the Black Sea coast and known for its port town of Tuapse and surrounding mountainous terrain.
  • E. Iultinsky District
    Iultinsky District is a remote administrative district in Russia’s Chukotka Autonomous Okrug, known for its Arctic climate, sparse population, and mining and port settlements like Egvekinot.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd1fc408190b4b5ca973bcee403 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3cf863fc81908723f7f6b3d45510 completed May 8, 2026, 1:31 a.m.
Created at: April 9, 2026, 9:11 p.m.