Triple

T6657088
Position Surface form Disambiguated ID Type / Status
Subject Nagaev Bay E150972 entity
Predicate namedAfter P63 FINISHED
Object Nagaev
Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
 E609199 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: Nagaev | Statement: [Nagaev Bay, namedAfter, Nagaev]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nagaev
Context triple: [Nagaev Bay, namedAfter, Nagaev]
  • A. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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: Nagaev
Triple: [Nagaev Bay, namedAfter, Nagaev]
Generated description
Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nagaev
Target entity description: Nagaev is the person after whom Nagaev Bay in Russia was named, likely a historical figure associated with the region’s exploration or development.
  • A. Nikitin
    Nikitin is a Russian surname borne by numerous notable figures in fields such as art, science, and sports.
  • B. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • C. Vyazemsky
    Vyazemsky is a small town in Russia’s Far Eastern Federal District, serving as an administrative center within Khabarovsk Krai.
  • D. Baraniev
    Baraniev is the original family surname of American screenwriter and film producer Sy Bartlett, reflecting his Eastern European heritage.
  • E. Kozlov
    Kozlov is a historic Russian town, now known as Michurinsk, that developed as a significant regional center of trade and agriculture.
  • 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_69c687f2c9508190a60b9aad31d3f358 completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6b06f3da88190b17649f44ee93fd1 completed March 27, 2026, 4:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6ef028ccc8190a56395075c9aabf7 completed March 27, 2026, 8:56 p.m.
NEDg Description generation batch_69c6f0a2a150819091ec6e6d2905abcb completed March 27, 2026, 9:03 p.m.
NED2 Entity disambiguation (via description) batch_69c6f1344dd4819096c1d3e216320c4d completed March 27, 2026, 9:05 p.m.
Created at: March 27, 2026, 2:01 p.m.