Triple

T12720597
Position Surface form Disambiguated ID Type / Status
Subject Battle of Velikiye Luki E303967 entity
Predicate location P40 FINISHED
Object Velikiye Luki E324832 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: Velikiye Luki | Statement: [Battle of Velikiye Luki, location, Velikiye Luki]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Velikiye Luki
Context triple: [Battle of Velikiye Luki, location, Velikiye Luki]
  • A. Velikiye Luki chosen
    Velikiye Luki is a city in western Russia known for being the site of a major World War II battle on the Eastern Front.
  • B. Volzhsky
    Volzhsky is a major industrial city in southwestern Russia located across the Volga River from Volgograd.
  • C. Tikhvin
    Tikhvin is a historic town in northwestern Russia known for its ancient monastery, religious icons, and role as a regional cultural and industrial center.
  • D. Volzhsk
    Volzhsk is an industrial city in the Republic of Mari El, Russia, located on the Volga River and known for its manufacturing and river transport significance.
  • E. Zaraysk
    Zaraysk is a historic town in Moscow Oblast, Russia, known for its well-preserved medieval kremlin and role as a former regional administrative center.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d964133fe481909a44b8159ab8997b completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69b8c84308190b57d3b5b04bb4a78 completed May 3, 2026, 12:49 a.m.
Created at: April 9, 2026, 5:24 p.m.