Triple

T5604600
Position Surface form Disambiguated ID Type / Status
Subject Leningradsky Prospekt E147201 entity
Predicate namedAfter P63 FINISHED
Object Leningrad E90774 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: Leningrad | Statement: [Leningradsky Prospekt, namedAfter, Leningrad]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leningrad
Context triple: [Leningradsky Prospekt, namedAfter, Leningrad]
  • A. Leningrad chosen
    Leningrad, now known as Saint Petersburg, is a major Russian city on the Baltic Sea that served as the imperial capital and endured a devastating World War II siege.
  • B. Stalino
    Stalino was the Soviet-era name of the industrial city now known as Donetsk in eastern Ukraine.
  • C. Petrovgrad
    Petrovgrad was the former name of the Serbian city now known as Zrenjanin, located in the Vojvodina region.
  • D. Odintsovo
    Odintsovo is a town in western Russia that serves as an important suburban center just outside Moscow.
  • E. Brest Fortress
    Brest Fortress is a historic 19th-century Russian fortress in Brest, Belarus, renowned for its fierce Soviet resistance during the early days of the German invasion in World War II.
  • 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_69c0090500f881908374285baf0ac46f completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020f9408481908cf006074c726301 completed March 22, 2026, 5:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287649cc8190ae356790dd993973 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.