Triple

T3055063
Position Surface form Disambiguated ID Type / Status
Subject BepiColombo E60459 entity
Predicate alsoKnownAs P39 FINISHED
Object 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.
 E323702 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: MPO | Statement: [BepiColombo, alsoKnownAs, MPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MPO
Context triple: [BepiColombo, alsoKnownAs, MPO]
  • A. MPP
    MPP is the commonly used acronym for New Zealand’s Ministry for Pacific Peoples, the government agency responsible for policies and services relating to Pacific communities in Aotearoa New Zealand.
  • B. HMPO
    HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • E. 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.
  • 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: MPO
Triple: [BepiColombo, alsoKnownAs, MPO]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MPO
Target entity description: 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.
  • A. MPP
    MPP is the commonly used acronym for New Zealand’s Ministry for Pacific Peoples, the government agency responsible for policies and services relating to Pacific communities in Aotearoa New Zealand.
  • B. HMPO
    HMPO is the abbreviated name for Her Majesty's Passport Office, the UK government agency responsible for issuing passports and managing civil registration services.
  • C. MPS
    MPS is a leading German research institute specializing in the study of the Sun and the solar system, operating under the Max Planck Society.
  • D. MIP
    MIP is a U.S. Department of Defense funding and oversight framework that supports military intelligence activities, systems, and operations.
  • E. 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.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf6b9948190bc957bfd1579c471 completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef03425c8190a44486ab563c210f completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1f2d6e2008190adad44758e2d4766 completed March 11, 2026, 10:55 p.m.
NED2 Entity disambiguation (via description) batch_69b1f34005c88190817c40dc30f99f14 completed March 11, 2026, 10:57 p.m.
Created at: March 8, 2026, 3:02 p.m.