Triple

T8880722
Position Surface form Disambiguated ID Type / Status
Subject Sahak Partev E211403 entity
Predicate familyName P18 FINISHED
Object Partev
Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
 E765330 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: Partev | Statement: [Sahak Partev, familyName, Partev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Partev
Context triple: [Sahak Partev, familyName, Partev]
  • A. Parit
    Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
  • B. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • C. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • D. Parakar
    Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
  • E. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • 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: Partev
Triple: [Sahak Partev, familyName, Partev]
Generated description
Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Partev
Target entity description: Partev is an Armenian surname historically associated with notable figures such as religious leaders and scholars.
  • A. Parit
    Parit is a small Malaysian town in the state of Perak, known for its riverside setting and traditional local community.
  • B. Patori
    Patori is a small town located in the Samastipur district of the Indian state of Bihar.
  • C. Petelia
    Petelia was an ancient city in southern Italy that served as the principal center of the Bruttian people.
  • D. Parakar
    Parakar is a village in Armenia’s Armavir Province, situated near the capital Yerevan and known for its proximity to Zvartnots International Airport.
  • E. Tarusa
    Tarusa is a small historic town in western Russia known for its scenic location on the Oka River and its associations with Russian artists and writers.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc61677c9c8190aa09dc2a05d4cf95 completed April 1, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfabc1992481909e8a4216086d5111 completed April 3, 2026, noon
NEDg Description generation batch_69cfadbfa4888190931c76599631366a completed April 3, 2026, 12:08 p.m.
NED2 Entity disambiguation (via description) batch_69cfae3a88dc81908419c44bc83b188a completed April 3, 2026, 12:10 p.m.
Created at: March 30, 2026, 6:52 p.m.