Triple

T29034823
Position Surface form Disambiguated ID Type / Status
Subject Armed Forces of Armenia E737828 entity
Predicate hasMilitaryAcademy P53599 FINISHED
Object Vazgen Sargsyan Military University
Vazgen Sargsyan Military University is Armenia’s principal higher military educational institution, training officers and defense specialists for the country’s armed forces.
 E1843868 NE FINISHED

How this triple was built (3 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: Vazgen Sargsyan Military University | Statement: [Armed Forces of Armenia, hasMilitaryAcademy, Vazgen Sargsyan Military University]
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: Vazgen Sargsyan Military University
Triple: [Armed Forces of Armenia, hasMilitaryAcademy, Vazgen Sargsyan Military University]
Generated description
Vazgen Sargsyan Military University is Armenia’s principal higher military educational institution, training officers and defense specialists for the country’s armed forces.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasMilitaryAcademy
Context triple: [Armed Forces of Armenia, hasMilitaryAcademy, Vazgen Sargsyan Military University]
  • A. containsMilitaryAcademy chosen
    Indicates that one entity includes or hosts a military academy within its boundaries or domain.
  • B. isMilitarySchool
    Indicates that an educational institution functions as a military school, operating under military principles, structure, or training programs.
  • C. hasCorpsOfCadets
    Indicates that an institution maintains an organized corps of cadets as part of its structure or programs.
  • D. hasMaritimeAcademy
    Indicates that an entity possesses, hosts, or is the location of a maritime academy or equivalent maritime training institution.
  • E. hasCadetBranch
    Indicates that one lineage, family, or house is a junior or offshoot branch derived from another main or senior line.
  • F. None of above.

Provenance (6 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_69f077efb3848190b41574e1670f6ae2 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f7221dc9a88190bb8194fcc29c42bc completed May 3, 2026, 10:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2505d9c09c81908bf3d87590cbdc3d completed June 7, 2026, 5:47 a.m.
NEDg Description generation batch_6a250af483c08190b831fed9367c84c0 completed June 7, 2026, 6:08 a.m.
NED2 Entity disambiguation (via description) batch_6a250f54cbac8190b681c423cd3eac67 completed June 7, 2026, 6:27 a.m.
PD Predicate disambiguation batch_69f72153a9188190b02adc84e1be4af8 completed May 3, 2026, 10:20 a.m.
Created at: April 28, 2026, 9:57 a.m.