Triple

T12622089
Position Surface form Disambiguated ID Type / Status
Subject Kotayk Province E301406 entity
Predicate contains P35 FINISHED
Object Byureghavan
Byureghavan is a small town in Armenia known for its industrial activity and proximity to the capital, Yerevan.
E992883 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: Byureghavan | Statement: [Kotayk Province, contains, Byureghavan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Byureghavan
Context triple: [Kotayk Province, contains, Byureghavan]
  • A. Khosrovidukht
    Khosrovidukht was an early Armenian noblewoman and hymnographer traditionally credited with composing one of the oldest known Armenian Christian hymns and contributing to the spread of Christianity in Armenia.
  • B. Sirak Goryan
    Sirak Goryan is a lesser-known pseudonym used by Armenian-American writer and playwright William Saroyan.
  • C. Vostanik
    Vostanik is the birth name of Arshile Gorky, the influential Armenian-American painter associated with Abstract Expressionism.
  • D. Shalla-Bal
    Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
  • E. Narek
    Narek is a Romulan agent and central antagonist in the television series "Star Trek: Picard."
  • 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: Byureghavan
Triple: [Kotayk Province, contains, Byureghavan]
Generated description
Byureghavan is a small town in Armenia known for its industrial activity and proximity to the capital, Yerevan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Byureghavan
Target entity description: Byureghavan is a small town in Armenia known for its industrial activity and proximity to the capital, Yerevan.
  • A. Khosrovidukht
    Khosrovidukht was an early Armenian noblewoman and hymnographer traditionally credited with composing one of the oldest known Armenian Christian hymns and contributing to the spread of Christianity in Armenia.
  • B. Sirak Goryan
    Sirak Goryan is a lesser-known pseudonym used by Armenian-American writer and playwright William Saroyan.
  • C. Vostanik
    Vostanik is the birth name of Arshile Gorky, the influential Armenian-American painter associated with Abstract Expressionism.
  • D. Shalla-Bal
    Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
  • E. Narek
    Narek is a Romulan agent and central antagonist in the television series "Star Trek: Picard."
  • 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_69d7bdeaf49c8190b13800111fa77ea3 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d960c8671881909a102d28b0e7f603 completed April 10, 2026, 8:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65ed6f79881908872c644a9789f04 completed May 2, 2026, 8:30 p.m.
NEDg Description generation batch_69f660294004819089714099a08085f6 completed May 2, 2026, 8:35 p.m.
NED2 Entity disambiguation (via description) batch_69f6613ce1108190851cf8491fe666c8 completed May 2, 2026, 8:40 p.m.
Created at: April 9, 2026, 5:14 p.m.