Triple

T16257935
Position Surface form Disambiguated ID Type / Status
Subject Gagarin Cosmonaut Training Center E394678 entity
Predicate locatedIn P40 FINISHED
Object Star City
Star City is a closed Russian town near Moscow best known as the longtime hub of Soviet and Russian cosmonaut training and spaceflight preparation.
E1202735 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: Star City | Statement: [Gagarin Cosmonaut Training Center, locatedIn, Star City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Star City
Context triple: [Gagarin Cosmonaut Training Center, locatedIn, Star City]
  • A. Star City
    Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
  • B. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • C. Star City
    Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
  • D. Gem City
    Gem City is a popular nickname for Quincy, Illinois, reflecting its historic charm and regional significance along the Mississippi River.
  • E. Gem City
    Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
  • 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: Star City
Triple: [Gagarin Cosmonaut Training Center, locatedIn, Star City]
Generated description
Star City is a closed Russian town near Moscow best known as the longtime hub of Soviet and Russian cosmonaut training and spaceflight preparation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Star City
Target entity description: Star City is a closed Russian town near Moscow best known as the longtime hub of Soviet and Russian cosmonaut training and spaceflight preparation.
  • A. Star City
    Star City is a commonly used nickname for the city of Lincoln, Nebraska.
  • B. Star City
    Star City is a fictional crime-ridden metropolis in the DC Comics universe, best known as the home of the superhero Green Arrow.
  • C. Star City
    Star City is a popular amusement park in Pasay, Metro Manila, known for its indoor and outdoor rides, family attractions, and seasonal events.
  • D. Gem City
    Gem City is a popular nickname for Quincy, Illinois, reflecting its historic charm and regional significance along the Mississippi River.
  • E. Gem City
    Gem City is the well-known nickname for Dayton, Ohio, reflecting the city's historic prosperity and regional significance.
  • 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_69d87f221d8081909b0b2063e7528ba2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e245c1fa208190995feaeba766b45f completed April 17, 2026, 2:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000eebcfe481909822290d3a7b361c completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a000f8cca5081909db58e092028e469 completed May 10, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a001057f9088190925492033bcd4c8d completed May 10, 2026, 4:58 a.m.
Created at: April 10, 2026, 5:04 a.m.