Triple

T2267340
Position Surface form Disambiguated ID Type / Status
Subject Moscow Central Diameters E50176 entity
Predicate hasLine P35 FINISHED
Object D5
D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
 E250703 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: D5 | Statement: [Moscow Central Diameters, hasLine, D5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: D5
Context triple: [Moscow Central Diameters, hasLine, D5]
  • A. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • B. The D
    "The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
  • C. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • D. D
    The D is a New York City Subway service that runs on the IND Sixth Avenue Line in Manhattan and connects Rockefeller Center with other major destinations across the city.
  • E. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • 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: D5
Triple: [Moscow Central Diameters, hasLine, D5]
Generated description
D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: D5
Target entity description: D5 is a commuter rail line within the Moscow Central Diameters network that serves as one of the key cross-city routes in the Moscow metropolitan area.
  • A. D-2
    D-2 was a 1993 German-led Spacelab space shuttle mission focused on microgravity and life sciences research in low Earth orbit.
  • B. The D
    "The D" is a popular nickname for Detroit, a major U.S. city known for its automotive industry, musical heritage, and role in American industrial history.
  • C. D
    D is a statically typed, compiled systems programming language designed as a modern successor to C and C++, emphasizing high performance, safety features, and programmer productivity.
  • D. D
    The D is a New York City Subway service that runs on the IND Sixth Avenue Line in Manhattan and connects Rockefeller Center with other major destinations across the city.
  • E. D
    D is the vehicle registration code used on license plates for the German city of Düsseldorf.
  • 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_69a88b01e0048190ba96431b5f990ba9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1baa0948190b07ffc347a4f714e completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d492a48190be58396831e87ea0 completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae72bdc5dc81908f475353999161e4 completed March 9, 2026, 7:11 a.m.
NED2 Entity disambiguation (via description) batch_69ae76720e3c8190aeb82dd8779ff715 completed March 9, 2026, 7:27 a.m.
Created at: March 4, 2026, 7:48 p.m.