Triple

T2139373
Position Surface form Disambiguated ID Type / Status
Subject Mikulski Archive for Space Telescopes E46725 entity
Predicate abbreviation P43 FINISHED
Object MAST
MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
 E238225 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: MAST | Statement: [Mikulski Archive for Space Telescopes, abbreviation, MAST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAST
Context triple: [Mikulski Archive for Space Telescopes, abbreviation, MAST]
  • A. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • B. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • C. MAS
    MAS is the ICAO airline designator used to identify Malaysia Airlines in international aviation operations.
  • D. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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: MAST
Triple: [Mikulski Archive for Space Telescopes, abbreviation, MAST]
Generated description
MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAST
Target entity description: MAST is a NASA-operated astronomical data archive that stores and provides access to observations from space-based telescopes such as Hubble, Kepler, and TESS.
  • A. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • B. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • C. MAS
    MAS is the ICAO airline designator used to identify Malaysia Airlines in international aviation operations.
  • D. MAD
    MAD is the three-letter IATA airport code for Adolfo Suárez Madrid–Barajas Airport, the main international airport serving Madrid, Spain.
  • E. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • 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_69a88a174ab48190a5db20c132e5dccf completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbe025d3c81908bcb33a7ff09eae8 completed March 7, 2026, 5:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51b1290c8190a08850b428c99a6c completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae55923b748190bf7a2df3ae94edc8 completed March 9, 2026, 5:07 a.m.
NED2 Entity disambiguation (via description) batch_69ae55fdc32c8190b6ecdc9b23d64cc5 completed March 9, 2026, 5:09 a.m.
Created at: March 4, 2026, 7:44 p.m.