Triple

T16431839
Position Surface form Disambiguated ID Type / Status
Subject Mars Sample Return campaign E399086 entity
Predicate abbreviation P43 FINISHED
Object MSR
MSR is a proposed multi-mission NASA–ESA campaign to collect, launch, and return carefully selected Martian rock and soil samples to Earth for detailed scientific analysis.
 E1212871 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: MSR | Statement: [Mars Sample Return campaign, abbreviation, MSR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSR
Context triple: [Mars Sample Return campaign, abbreviation, MSR]
  • A. MSR
    MSR is the ICAO airline designator used to identify EgyptAir in international aviation operations.
  • B. MSR Cambridge
    MSR Cambridge is a leading Microsoft Research lab based in Cambridge, UK, known for pioneering work in areas such as machine learning, artificial intelligence, and human-computer interaction.
  • C. MSR Design
    MSR Design is an architecture and design firm known for creating innovative, sustainable public and cultural buildings, including the Minneapolis Central Library.
  • D. MRS
    MRS is the IATA airport code for Marseille Provence Airport, the main international airport serving Marseille, France.
  • E. MRS
    MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
  • 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: MSR
Triple: [Mars Sample Return campaign, abbreviation, MSR]
Generated description
MSR is a proposed multi-mission NASA–ESA campaign to collect, launch, and return carefully selected Martian rock and soil samples to Earth for detailed scientific analysis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSR
Target entity description: MSR is a proposed multi-mission NASA–ESA campaign to collect, launch, and return carefully selected Martian rock and soil samples to Earth for detailed scientific analysis.
  • A. MSR
    MSR is the ICAO airline designator used to identify EgyptAir in international aviation operations.
  • B. MSR Cambridge
    MSR Cambridge is a leading Microsoft Research lab based in Cambridge, UK, known for pioneering work in areas such as machine learning, artificial intelligence, and human-computer interaction.
  • C. MSR Design
    MSR Design is an architecture and design firm known for creating innovative, sustainable public and cultural buildings, including the Minneapolis Central Library.
  • D. MRS
    MRS is the IATA airport code for Marseille Provence Airport, the main international airport serving Marseille, France.
  • E. MRS
    MRS is the Materials Research Society, a professional organization dedicated to advancing interdisciplinary materials science and engineering research and education.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32b9dffe48190a23852f828af55d8 completed April 18, 2026, 6:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a004584fa508190a85b1f79ecf9c258 completed May 10, 2026, 8:44 a.m.
NEDg Description generation batch_6a00461390608190848c3b896042f1fd completed May 10, 2026, 8:47 a.m.
NED2 Entity disambiguation (via description) batch_6a0046a88e048190baa78506808171b8 completed May 10, 2026, 8:49 a.m.
Created at: April 10, 2026, 5:10 a.m.