Triple

T4651881
Position Surface form Disambiguated ID Type / Status
Subject Museum of Science and Industry E102312 entity
Predicate shortName P43 FINISHED
Object MOSI E119031 NE FINISHED

How this triple was built (2 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, shortName, MOSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOSI
Context triple: [Museum of Science and Industry, shortName, MOSI]
  • A. MOSI chosen
    MOSI is a major science and technology museum known for its interactive exhibits and educational programs that promote public engagement with science and industry.
  • B. MOSIF
    MOSIF is an alternative name associated with BepiColombo, the joint ESA–JAXA mission to study the planet Mercury.
  • C. MiMo
    MiMo is a distinctive post-World War II Miami Modernist architectural style characterized by playful curves, glass, and futuristic motifs, especially prominent in Miami Beach.
  • D. Mio
    Mio is the Japanese-led Mercury Magnetospheric Orbiter, a component of the joint ESA–JAXA BepiColombo mission designed to study Mercury’s magnetic field and space environment.
  • E. MPO
    MPO is the Mercury Planetary Orbiter, one of the two main spacecraft of the ESA–JAXA BepiColombo mission designed to study Mercury’s surface and internal composition.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69bd43d71a308190afea7280841b0de8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd630343f88190954d19fcd18a5864 completed March 20, 2026, 3:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfae7636881908244b86cba1c66b7 completed March 21, 2026, 1:56 a.m.
Created at: March 20, 2026, 1:14 p.m.