Triple

T4820653
Position Surface form Disambiguated ID Type / Status
Subject Vladimir Oblast E107701 entity
Predicate hasTown P847 FINISHED
Object Alexandrov E471233 NE FINISHED

How this triple was built (2 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: Alexandrov | Statement: [Vladimir Oblast, hasTown, Alexandrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrov
Context triple: [Vladimir Oblast, hasTown, Alexandrov]
  • A. Alexandrov chosen
    Alexandrov is a historic Russian town in Vladimir Oblast, known for its former status as a royal residence and its well-preserved architectural heritage.
  • B. Alexandrovsk
    Alexandrovsk was a historical town in the Russian Empire, now known as Zaporizhzhia in southeastern Ukraine.
  • C. Pavel Alexandrov
    Pavel Alexandrov was a prominent Russian-Soviet mathematician known for his foundational contributions to topology and his role in developing the Moscow school of mathematics.
  • D. Alexandrovich
    Alexandrovich is the Russian patronymic indicating "son of Alexander," famously used in the full name of Tsar Nicholas II of Russia.
  • E. Alekseyev
    Alekseyev is a Russian surname borne by various notable figures in Russian history, military, and culture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43f9efa081908314cb3e94fa1695 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6c98358081908ed43425af667a98 completed March 20, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5caf2a488190aee1e81c71bd4b60 completed March 21, 2026, 8:54 a.m.
Created at: March 20, 2026, 1:24 p.m.