Triple

T19577306
Position Surface form Disambiguated ID Type / Status
Subject Endeavour Crater E489890 entity
Predicate observedByInstrument P20345 FINISHED
Object MI
MI is the Microscopic Imager, a close-up camera instrument on the Mars Exploration Rover used to capture detailed images of Martian rocks and soil.
 E1383259 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: MI | Statement: [Endeavour Crater, observedByInstrument, MI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MI
Context triple: [Endeavour Crater, observedByInstrument, MI]
  • A. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • B. MI
    MI is the commonly used abbreviation for the Mumbai Indians, a prominent franchise cricket team in the Indian Premier League.
  • C. MI
    MI is the vehicle registration code used on license plates for vehicles registered in Minden, a town in Germany.
  • D. MI
    MI is the Mathematical Institute of Leiden University, a department focused on research and education in mathematics.
  • E. MI
    MI is the vehicle registration code used on license plates for vehicles registered in the Phthiotis regional unit of Greece.
  • 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: MI
Triple: [Endeavour Crater, observedByInstrument, MI]
Generated description
MI is the Microscopic Imager, a close-up camera instrument on the Mars Exploration Rover used to capture detailed images of Martian rocks and soil.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MI
Target entity description: MI is the Microscopic Imager, a close-up camera instrument on the Mars Exploration Rover used to capture detailed images of Martian rocks and soil.
  • A. MI
    MI is the vehicle registration code for the Italian city of Milan.
  • B. MI
    MI is the vehicle registration code used on license plates for vehicles registered in the Phthiotis regional unit of Greece.
  • C. MI
    MI is the Mathematical Institute of Leiden University, a department focused on research and education in mathematics.
  • D. MI
    MI is the commonly used abbreviation for the Mumbai Indians, a prominent franchise cricket team in the Indian Premier League.
  • E. MI
    MI is the official two-letter United States Postal Service abbreviation for the state of Michigan.
  • 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_69d8e8dd9374819098e36349b3211663 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e64025d5d081909dbb0c079d366006 completed April 20, 2026, 3:03 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075792581881909443cecc6a9212e4 completed May 15, 2026, 5:27 p.m.
NEDg Description generation batch_6a0758be89108190adb2369750eb90ca completed May 15, 2026, 5:32 p.m.
NED2 Entity disambiguation (via description) batch_6a07599d4c988190a32a0aa9e561a61d completed May 15, 2026, 5:36 p.m.
Created at: April 10, 2026, 1:42 p.m.