Triple

T13529220
Position Surface form Disambiguated ID Type / Status
Subject Shuttle-Mir docking module E323087 entity
Predicate alsoKnownAs P39 FINISHED
Object DM
DM is the specially designed docking module that enabled Space Shuttle orbiters to safely dock with the Russian Mir space station during the Shuttle–Mir program.
 E1044083 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: DM | Statement: [Shuttle-Mir docking module, alsoKnownAs, DM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DM
Context triple: [Shuttle-Mir docking module, alsoKnownAs, DM]
  • A. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • B. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • C. DM
    DM is the standard abbreviation for Francisco Suárez’s influential late 16th-century scholastic work *Disputationes metaphysicae*, a foundational text in early modern metaphysics.
  • D. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • 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: DM
Triple: [Shuttle-Mir docking module, alsoKnownAs, DM]
Generated description
DM is the specially designed docking module that enabled Space Shuttle orbiters to safely dock with the Russian Mir space station during the Shuttle–Mir program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DM
Target entity description: DM is the specially designed docking module that enabled Space Shuttle orbiters to safely dock with the Russian Mir space station during the Shuttle–Mir program.
  • A. DM
    DM is the commonly used abbreviation for the Deutsche Mark, the former official currency of West Germany and later unified Germany before the adoption of the euro.
  • B. DM
    DM is the abbreviated name commonly used for the Department of Management in an academic or organizational context.
  • C. DM
    DM is the standard abbreviation for Francisco Suárez’s influential late 16th-century scholastic work *Disputationes metaphysicae*, a foundational text in early modern metaphysics.
  • D. .dm
    .dm is the country code top-level domain (ccTLD) assigned to the Caribbean island nation of Dominica for use in internet addresses.
  • E. DN
    DN is a UK postcode area covering Doncaster and surrounding parts of South Yorkshire and Lincolnshire, including North East Lincolnshire.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafba2c308190873efd15dfe26358 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7549dda6481908e9305690488b1af completed May 3, 2026, 1:58 p.m.
NEDg Description generation batch_69f755521abc8190baabcec69e80d554 completed May 3, 2026, 2:01 p.m.
NED2 Entity disambiguation (via description) batch_69f755c52c648190a4912725ce65ff04 completed May 3, 2026, 2:03 p.m.
Created at: April 9, 2026, 9:44 p.m.