Triple

T6819709
Position Surface form Disambiguated ID Type / Status
Subject Severodvinsk E156865 entity
Predicate hasShipyard P4334 FINISHED
Object Zvezdochka
Zvezdochka is a major Russian shipyard and naval repair facility located in Severodvinsk, known especially for servicing and modernizing submarines.
 E622601 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: Zvezdochka | Statement: [Severodvinsk, hasShipyard, Zvezdochka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zvezdochka
Context triple: [Severodvinsk, hasShipyard, Zvezdochka]
  • A. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Yuriatin
    Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
  • D. Ruzan
    Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
  • E. Ze!Molodizhka
    Ze!Molodizhka is the youth wing of the Ukrainian political party Servant of the People, aimed at engaging and mobilizing young people in the party’s activities and agenda.
  • 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: Zvezdochka
Triple: [Severodvinsk, hasShipyard, Zvezdochka]
Generated description
Zvezdochka is a major Russian shipyard and naval repair facility located in Severodvinsk, known especially for servicing and modernizing submarines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zvezdochka
Target entity description: Zvezdochka is a major Russian shipyard and naval repair facility located in Severodvinsk, known especially for servicing and modernizing submarines.
  • A. Molodyozhnaya
    Molodyozhnaya is a Moscow Metro station serving the western part of the city on one of its main radial lines.
  • B. Mishenka
    Mishenka is a Russian affectionate diminutive form of the male given name Mikhail.
  • C. Yuriatin
    Yuriatin is a fictional Russian town in Boris Pasternak’s novel "Doctor Zhivago," serving as a key setting in Yuri Zhivago’s life and relationships.
  • D. Ruzan
    Ruzan is a surname most notably associated with American television producer and writer Robin Ruzan.
  • E. Ze!Molodizhka
    Ze!Molodizhka is the youth wing of the Ukrainian political party Servant of the People, aimed at engaging and mobilizing young people in the party’s activities and agenda.
  • 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_69c688298a288190af3f285d57f76bbe completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d35781e88190a45d1386706d4422 completed March 27, 2026, 6:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723e797908190bb0a2d22556b5906 completed March 28, 2026, 12:42 a.m.
NEDg Description generation batch_69c724e915dc8190a82b69939f78420d completed March 28, 2026, 12:46 a.m.
NED2 Entity disambiguation (via description) batch_69c728ddadd881909c2faa435031a635 completed March 28, 2026, 1:03 a.m.
Created at: March 27, 2026, 2:17 p.m.