Triple

T12622079
Position Surface form Disambiguated ID Type / Status
Subject Kotayk Province E301406 entity
Predicate capital P234 FINISHED
Object Hrazdan
Hrazdan is a town in central Armenia that serves as an important industrial and administrative center in the Kotayk region.
E992880 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: Hrazdan | Statement: [Kotayk Province, capital, Hrazdan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hrazdan
Context triple: [Kotayk Province, capital, Hrazdan]
  • A. Berane
    Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
  • B. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • C. Kardenakhi
    Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
  • D. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • E. Meskheti
    Meskheti is a historical region in southwestern Georgia known for its mountainous landscapes, strategic location along ancient trade routes, and culturally diverse heritage.
  • 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: Hrazdan
Triple: [Kotayk Province, capital, Hrazdan]
Generated description
Hrazdan is a town in central Armenia that serves as an important industrial and administrative center in the Kotayk region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hrazdan
Target entity description: Hrazdan is a town in central Armenia that serves as an important industrial and administrative center in the Kotayk region.
  • A. Berane
    Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
  • B. Gevaş
    Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
  • C. Kardenakhi
    Kardenakhi is a Georgian village in the Kakheti region renowned for producing high-quality wines under its own appellation.
  • D. Loznica
    Loznica is a town in western Serbia near the Drina River, known as a regional center with historical and cultural significance.
  • E. Meskheti
    Meskheti is a historical region in southwestern Georgia known for its mountainous landscapes, strategic location along ancient trade routes, and culturally diverse heritage.
  • 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.