Triple

T21238293
Position Surface form Disambiguated ID Type / Status
Subject Leninakan E523403 entity
Predicate previousName P65 FINISHED
Object Kumayri
Kumayri is the historic district and old name of the Armenian city now known as Gyumri, noted for its 19th-century architecture and cultural heritage.
 E1473143 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: Kumayri | Statement: [Leninakan, previousName, Kumayri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kumayri
Context triple: [Leninakan, previousName, Kumayri]
  • A. Kampilya
    Kampilya was an ancient city in northern India, historically renowned as the capital of the Panchala kingdom mentioned in the Indian epics.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Karakilise
    Karakilise is a historical name for the city now known as Ağrı in eastern Turkey.
  • D. Çumra
    Çumra is a town and agricultural district in central Turkey known for its fertile plains and proximity to the ancient archaeological site of Çatalhöyük.
  • E. Çamyuva
    Çamyuva is a coastal resort town on Turkey’s Mediterranean Riviera, known for its beaches, pine forests, and proximity to the tourist hub of Kemer.
  • 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: Kumayri
Triple: [Leninakan, previousName, Kumayri]
Generated description
Kumayri is the historic district and old name of the Armenian city now known as Gyumri, noted for its 19th-century architecture and cultural heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kumayri
Target entity description: Kumayri is the historic district and old name of the Armenian city now known as Gyumri, noted for its 19th-century architecture and cultural heritage.
  • A. Kampilya
    Kampilya was an ancient city in northern India, historically renowned as the capital of the Panchala kingdom mentioned in the Indian epics.
  • B. Kocaali
    Kocaali is a coastal town and district in northwestern Turkey, situated along the Black Sea in Sakarya Province.
  • C. Karakilise
    Karakilise is a historical name for the city now known as Ağrı in eastern Turkey.
  • D. Çumra
    Çumra is a town and agricultural district in central Turkey known for its fertile plains and proximity to the ancient archaeological site of Çatalhöyük.
  • E. Çamyuva
    Çamyuva is a coastal resort town on Turkey’s Mediterranean Riviera, known for its beaches, pine forests, and proximity to the tourist hub of Kemer.
  • 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_69e0b513b89c81908b27147e91368db2 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73521eb7c8190b1b97b42d0d052c3 completed April 21, 2026, 8:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0986f235b08190bd0a7ded7e1c9cbc completed May 17, 2026, 9:14 a.m.
NEDg Description generation batch_6a09877c03508190ae15fc181e3cc05e completed May 17, 2026, 9:16 a.m.
NED2 Entity disambiguation (via description) batch_6a09884d294c8190911935ae7b162b1f completed May 17, 2026, 9:20 a.m.
Created at: April 16, 2026, 3:46 p.m.