Triple

T1046071
Position Surface form Disambiguated ID Type / Status
Subject Museum of Science and Industry (MOSI) E22580 entity
Predicate alsoKnownAs P39 FINISHED
Object MOSI
MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
 E119031 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: MOSI | Statement: [Museum of Science and Industry (MOSI), alsoKnownAs, MOSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOSI
Context triple: [Museum of Science and Industry (MOSI), alsoKnownAs, MOSI]
  • A. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • C. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • D. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • E. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • 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: MOSI
Triple: [Museum of Science and Industry (MOSI), alsoKnownAs, MOSI]
Generated description
MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOSI
Target entity description: MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • A. MSP
    MSP stands for Member of the Scottish Parliament, an elected representative in Scotland's devolved legislature.
  • B. MSP
    MSP is the primary statewide law enforcement agency responsible for highway patrol, criminal investigations, and public safety across the Commonwealth of Massachusetts.
  • C. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • D. NMTI
    NMTI is a prestigious United States presidential award that honors individuals, teams, and companies for outstanding contributions to technological innovation and advancement.
  • E. NMTI
    NMTI is an acronym whose specific meaning depends on context, commonly referring to various technical or institutional names.
  • 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_69a493d91478819094cc01fb65564bc1 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b84bb0048190badf6d2f7f684d99 completed March 1, 2026, 10:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac3bc97dec81909b6ad48e3f203923 completed March 7, 2026, 2:52 p.m.
NEDg Description generation batch_69ac3c42c2c081909ccadbf944d3aa6c completed March 7, 2026, 2:54 p.m.
NED2 Entity disambiguation (via description) batch_69ac3cbea1708190a16951194f13ed5e completed March 7, 2026, 2:57 p.m.
Created at: March 1, 2026, 7:42 p.m.