Triple

T2799360
Position Surface form Disambiguated ID Type / Status
Subject Vanadzor E53114 entity
Predicate formerName P65 FINISHED
Object Kirovakan
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
 E316674 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: Kirovakan | Statement: [Vanadzor, formerName, Kirovakan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kirovakan
Context triple: [Vanadzor, formerName, Kirovakan]
  • A. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Kalinin
    Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
  • D. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • E. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery 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: Kirovakan
Triple: [Vanadzor, formerName, Kirovakan]
Generated description
Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kirovakan
Target entity description: Kirovakan is the former name of Vanadzor, a major industrial city in northern Armenia.
  • A. Karachayevsk
    Karachayevsk is a town in southwestern Russia located in the North Caucasus region, serving as one of the main urban centers of the Karachay-Cherkess Republic.
  • B. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • C. Kalinin
    Kalinin is the former Soviet-era name of the Russian city now known as Tver, reflecting its renaming in honor of Bolshevik leader Mikhail Kalinin.
  • D. Terekhovo
    Terekhovo is a metro station on Moscow’s Big Circle Line, serving the Terekhovo area in the western part of the city.
  • E. Rubtsovsk
    Rubtsovsk is an industrial city in Altai Krai, Russia, known as the birthplace of Raisa Gorbacheva and for its role as a regional agricultural and machinery 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_69ab495a90788190941b6917e1eca3a6 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abddf31eec8190a898713e53d1aa5c completed March 7, 2026, 8:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69b108c7cfd48190b959e60b9e7fc0fa completed March 11, 2026, 6:16 a.m.
NEDg Description generation batch_69b10d7b6dbc8190be85296aa7eae4ec completed March 11, 2026, 6:36 a.m.
NED2 Entity disambiguation (via description) batch_69b10ddb79f08190ad4f1d92b8ed5c05 completed March 11, 2026, 6:38 a.m.
Created at: March 6, 2026, 9:58 p.m.