Triple

T18712902
Position Surface form Disambiguated ID Type / Status
Subject Yaroslavsky railway line E457560 entity
Predicate serves P98 FINISHED
Object Alexandrov NE NERFINISHED

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: [Yaroslavsky railway line, serves, Alexandrov]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexandrov
Context triple: [Yaroslavsky railway line, serves, 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. Alexandrovsk
    Alexandrovsk was the former name of the Russian Arctic port town now known as Polyarny, located in Murmansk Oblast.
  • D. Abdrashitov
    Abdrashitov is a Russian surname most notably associated with film director Vadim Abdrashitov.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56ab352b481909b444e7c476898f4 completed April 19, 2026, 11:52 p.m.
Created at: April 10, 2026, 11:50 a.m.