Triple

T3689330
Position Surface form Disambiguated ID Type / Status
Subject Novo-Bayazet uezd E78305 entity
Predicate hasAlternativeName P39 FINISHED
Object Nor Bayazet
Nor Bayazet is a historical name for a town in Armenia that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
 E379347 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 Bayazet | Statement: [Novo-Bayazet uezd, hasAlternativeName, Nor Bayazet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nor Bayazet
Context triple: [Novo-Bayazet uezd, hasAlternativeName, Nor Bayazet]
  • A. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • D. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • E. Tolba Marzuq
    Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
  • 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 Bayazet
Triple: [Novo-Bayazet uezd, hasAlternativeName, Nor Bayazet]
Generated description
Nor Bayazet is a historical name for a town in Armenia that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nor Bayazet
Target entity description: Nor Bayazet is a historical name for a town in Armenia that served as the administrative center of the Novo-Bayazet uezd in the Russian Empire.
  • A. Butrus
    Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
  • B. Sahnun
    Sahnun was a prominent 9th-century Islamic jurist from North Africa whose compilation of legal opinions, the Mudawwana, became a foundational text of the Maliki school of Sunni jurisprudence.
  • C. Gazi
    Gazi is an honorific title in Turkey, historically bestowed for distinguished military valor and sacrifice in war.
  • D. Ersoy
    Ersoy is a Turkish surname most notably borne by Mehmet Akif Ersoy, the poet of the Turkish National Anthem.
  • E. Tolba Marzuq
    Tolba Marzuq is a character in Naguib Mahfouz’s novel "Miramar," representing one of the diverse boarders at the Alexandria pension whose interactions reflect Egypt’s social and political tensions in the 1960s.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4cb47208190b1321af859d02c51 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3c5b6488190afb8cc599d633a96 completed March 14, 2026, 2:11 a.m.
NEDg Description generation batch_69b4c463b53c8190b3333fda95862545 completed March 14, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69b4c4ee4db88190810a1d49d757b2b6 completed March 14, 2026, 2:16 a.m.
Created at: March 8, 2026, 3:26 p.m.