Triple

T13553300
Position Surface form Disambiguated ID Type / Status
Subject MPO E323702 entity
Predicate missionPartnerSpacecraft P101281 FINISHED
Object Mio E323706 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: Mio | Statement: [MPO, missionPartnerSpacecraft, Mio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mio
Context triple: [MPO, missionPartnerSpacecraft, Mio]
  • A. Mio chosen
    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.
  • B. Mili
    Mili is the main settlement and administrative center of Mili Atoll in the Marshall Islands.
  • C. Mili
    Mili is a 1975 Hindi drama film directed by Hrishikesh Mukherjee, known for Jaya Bhaduri’s acclaimed performance as a spirited young woman facing a terminal illness.
  • D. Mireo
    Mireo is a family of modern regional and commuter trains developed by Siemens Mobility, known for their energy efficiency, modular design, and suitability for short- to medium-distance rail services.
  • E. Moji
    Moji was a former city in Fukuoka Prefecture, Japan, that later became a ward of Kitakyushu and is known for its historic port and preserved retro district.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbbe99ddc08190a8d79107c8e176fa completed April 12, 2026, 3:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f77f86f1248190922732247ff56f4d completed May 3, 2026, 5:01 p.m.
Created at: April 9, 2026, 9:46 p.m.