Triple

T3397226
Position Surface form Disambiguated ID Type / Status
Subject Red Army Western Front E71557 entity
Predicate headquartersLocation P62 FINISHED
Object Vyazma
Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
 E366953 NE FINISHED

How this triple was built (4 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: Vyazma | Statement: [Red Army Western Front, headquartersLocation, Vyazma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vyazma
Context triple: [Red Army Western Front, headquartersLocation, Vyazma]
  • A. Rzhev
    Rzhev is a historic town in western Russia known for its strategic location on the Volga River and as the site of major World War II battles.
  • B. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • C. Yudenich
    Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
  • D. Orsha
    Orsha is a historic city in eastern Belarus known as a regional transport hub and site of several significant battles.
  • E. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vyazma
Triple: [Red Army Western Front, headquartersLocation, Vyazma]
Generated description
Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vyazma
Target entity description: Vyazma is a historic town in Smolensk Oblast, western Russia, known for its strategic military significance, particularly during World War II.
  • A. Rzhev
    Rzhev is a historic town in western Russia known for its strategic location on the Volga River and as the site of major World War II battles.
  • B. Babruysk
    Babruysk is a historic city in eastern Belarus known as a former major Jewish cultural center and regional industrial hub.
  • C. Yudenich
    Yudenich is a Russian surname most notably associated with General Nikolai Yudenich, a leading White movement commander during the Russian Civil War.
  • D. Orsha
    Orsha is a historic city in eastern Belarus known as a regional transport hub and site of several significant battles.
  • E. Ostashkov
    Ostashkov is a historic town in western Russia situated on the shores of Lake Seliger, known as a local tourist and pilgrimage center.
  • F. None of above. chosen

Provenance (5 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_69ad85a9c4a88190a854019341cb3b60 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8c4099081908a236376b4f86900 completed March 8, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bb30b708190ab06280feea59eaf completed March 13, 2026, 3:59 a.m.
NEDg Description generation batch_69b38c4bf12081909212743357a9decf completed March 13, 2026, 4:02 a.m.
NED2 Entity disambiguation (via description) batch_69b38cb872948190a75bc6d6829187c5 completed March 13, 2026, 4:04 a.m.
Created at: March 8, 2026, 3:14 p.m.