Triple

T747463
Position Surface form Disambiguated ID Type / Status
Subject Perseverance rover E15374 entity
Predicate hasInstrument P35 FINISHED
Object MEDA
MEDA is a suite of environmental sensors on NASA's Perseverance rover that measures Martian weather and atmospheric conditions.
E88915 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: MEDA | Statement: [Perseverance rover, hasInstrument, MEDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MEDA
Context triple: [Perseverance rover, hasInstrument, MEDA]
  • A. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • B. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • C. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • D. MPEA
    MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
  • E. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • 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: MEDA
Triple: [Perseverance rover, hasInstrument, MEDA]
Generated description
MEDA is a suite of environmental sensors on NASA's Perseverance rover that measures Martian weather and atmospheric conditions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MEDA
Target entity description: MEDA is a suite of environmental sensors on NASA's Perseverance rover that measures Martian weather and atmospheric conditions.
  • A. MDA
    MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • B. MEEI
    MEEI is a renowned specialty hospital in Boston focused on ophthalmology and otolaryngology, affiliated with Harvard Medical School.
  • C. MDT
    MDT is the stock ticker symbol for Medtronic, a leading global medical technology company specializing in devices and therapies for chronic diseases.
  • D. MPEA
    MPEA is the commonly used abbreviation for the Metropolitan Pier and Exposition Authority, the public agency that owns and operates Chicago’s McCormick Place convention center and Navy Pier.
  • E. DME
    DME is the IATA airport code for Moscow’s Domodedovo International Airport, one of the major airports serving the Russian capital.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62dd1bc819094a3814654448ae3 completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655e0a2608190801fb67856bc2ac4 completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65704a964819097ad5074e83303b4 completed March 3, 2026, 3:35 a.m.
Created at: March 1, 2026, 7:37 p.m.