Triple

T5881690
Position Surface form Disambiguated ID Type / Status
Subject The Steppe E130762 entity
Predicate firstPublishedIn P309 FINISHED
Object Severny Vestnik
Severny Vestnik was a prominent late 19th-century Russian literary and cultural journal known for publishing works by leading writers and intellectuals of its time.
E553029 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: Severny Vestnik | Statement: [The Steppe, firstPublishedIn, Severny Vestnik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Severny Vestnik
Context triple: [The Steppe, firstPublishedIn, Severny Vestnik]
  • A. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • B. Mussau
    Mussau is an island in Papua New Guinea’s Bismarck Archipelago, known for its distinct Oceanic languages and rich Melanesian-Polynesian cultural heritage.
  • C. Komsomolskaya
    Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
  • D. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • E. Vorontsovskaya
    Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
  • 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: Severny Vestnik
Triple: [The Steppe, firstPublishedIn, Severny Vestnik]
Generated description
Severny Vestnik was a prominent late 19th-century Russian literary and cultural journal known for publishing works by leading writers and intellectuals of its time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Severny Vestnik
Target entity description: Severny Vestnik was a prominent late 19th-century Russian literary and cultural journal known for publishing works by leading writers and intellectuals of its time.
  • A. Bezymianny
    Bezymianny is an active stratovolcano on Russia’s Kamchatka Peninsula, known for its catastrophic 1956 eruption and ongoing explosive activity.
  • B. Mussau
    Mussau is an island in Papua New Guinea’s Bismarck Archipelago, known for its distinct Oceanic languages and rich Melanesian-Polynesian cultural heritage.
  • C. Komsomolskaya
    Komsomolskaya is one of Moscow Metro’s most famous and ornate stations, renowned for its grand Baroque-style decor and elaborate mosaics.
  • D. Rizhskaya
    Rizhskaya is a Moscow Metro station on the Big Circle Line serving the Rizhsky railway terminal area.
  • E. Vorontsovskaya
    Vorontsovskaya is a metro station on Moscow’s Big Circle Line serving the southwestern part of the city.
  • 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_69c0085523688190bfd487479ce819e6 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03673ecd88190978993056b675259 completed March 22, 2026, 6:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b13330c88190b10f33843f10f51f completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b2442bf881908aeaecb46463e32d completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b2bc8b9c8190ab642d317056b1de completed March 23, 2026, 3:25 a.m.
Created at: March 22, 2026, 3:57 p.m.