Triple

T8011568
Position Surface form Disambiguated ID Type / Status
Subject Moscow Governorate E186504 entity
Predicate hasMajorCity P316 FINISHED
Object Zaraysk E693391 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: Zaraysk | Statement: [Moscow Governorate, hasMajorCity, Zaraysk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zaraysk
Context triple: [Moscow Governorate, hasMajorCity, Zaraysk]
  • A. Zaraysk chosen
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • B. Kamyshin
    Kamyshin is a significant industrial and river port city on the Volga River in southwestern Russia.
  • C. Yelizovo
    Yelizovo is a town on Russia’s Kamchatka Peninsula that functions as a key regional hub and gateway to the area’s volcanic and natural attractions.
  • D. Torzhok
    Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
  • E. Pervouralsk
    Pervouralsk is an industrial city in Russia’s Ural region, known for its metallurgical plants and location near the geographic border between Europe and Asia.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d722fbc8190b22745b581421f16 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69d016a0027c81908d3454447fa461b2 completed April 3, 2026, 7:36 p.m.
Created at: March 30, 2026, 5:19 p.m.