Triple

T12622090
Position Surface form Disambiguated ID Type / Status
Subject Kotayk Province E301406 entity
Predicate contains P35 FINISHED
Object Nor Hachn
Nor Hachn is a town in Armenia known for its location near the Hrazdan River and its association with the country’s jewelry and diamond-cutting industry.
 E992884 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: Nor Hachn | Statement: [Kotayk Province, contains, Nor Hachn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nor Hachn
Context triple: [Kotayk Province, contains, Nor Hachn]
  • A. Har Nof
    Har Nof is a predominantly Haredi Jewish neighborhood in western Jerusalem known for its dense religious community and proximity to scenic forested hills.
  • B. Nahan
    Nahan is a small hill town and municipal council in Himachal Pradesh, India, known for its scenic surroundings, pleasant climate, and role as a regional administrative and commercial center.
  • C. Haabneeme
    Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
  • D. Nehase
    Nehase is the twelfth month of the Ethiopian calendar, corresponding roughly to August in the Gregorian calendar.
  • E. Noga
    Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
  • 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: Nor Hachn
Triple: [Kotayk Province, contains, Nor Hachn]
Generated description
Nor Hachn is a town in Armenia known for its location near the Hrazdan River and its association with the country’s jewelry and diamond-cutting industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nor Hachn
Target entity description: Nor Hachn is a town in Armenia known for its location near the Hrazdan River and its association with the country’s jewelry and diamond-cutting industry.
  • A. Har Nof
    Har Nof is a predominantly Haredi Jewish neighborhood in western Jerusalem known for its dense religious community and proximity to scenic forested hills.
  • B. Nahan
    Nahan is a small hill town and municipal council in Himachal Pradesh, India, known for its scenic surroundings, pleasant climate, and role as a regional administrative and commercial center.
  • C. Haabneeme
    Haabneeme is a small coastal settlement in northern Estonia, located on the Viimsi Peninsula near Tallinn.
  • D. Nehase
    Nehase is the twelfth month of the Ethiopian calendar, corresponding roughly to August in the Gregorian calendar.
  • E. Noga
    Noga is a given name most notably borne by Israeli mathematician and computer scientist Noga Alon.
  • 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.