Triple

T16502412
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Shinten engine family E400829 entity
Predicate namedAfter P63 FINISHED
Object Shinten
Shinten is the namesake of the Mitsubishi Shinten engine family, a line of Japanese aircraft engines.
E1216888 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: Shinten | Statement: [Mitsubishi Shinten engine family, namedAfter, Shinten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shinten
Context triple: [Mitsubishi Shinten engine family, namedAfter, Shinten]
  • A. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • B. Shinjo
    Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
  • C. Shinmei
    Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
  • D. Shirokane
    Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping areas.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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: Shinten
Triple: [Mitsubishi Shinten engine family, namedAfter, Shinten]
Generated description
Shinten is the namesake of the Mitsubishi Shinten engine family, a line of Japanese aircraft engines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shinten
Target entity description: Shinten is the namesake of the Mitsubishi Shinten engine family, a line of Japanese aircraft engines.
  • A. Shinshiro
    Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
  • B. Shinjo
    Shinjo is a notable figure associated with the Kegon school of Japanese Buddhism, recognized for contributions to its teachings or development.
  • C. Shinmei
    Shinmei is a divine title associated with Emperor Jimmu, the legendary first emperor of Japan revered as a descendant of the sun goddess Amaterasu.
  • D. Shirokane
    Shirokane is an upscale residential district in Minato, Tokyo, known for its quiet, leafy streets, luxury apartments, and proximity to central business and shopping areas.
  • E. Marunouchi
    Marunouchi is a central Tokyo business district known for its concentration of corporate headquarters, upscale offices, and proximity to Tokyo Station and the Imperial Palace.
  • 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_69d88381f6148190819958a038be990e completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e50436c8190836a1bc2baa188b1 completed April 18, 2026, 7:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00582e6e288190825af8758097e325 completed May 10, 2026, 10:04 a.m.
NEDg Description generation batch_6a0059cb0e8c81908745e5f5a1c64117 completed May 10, 2026, 10:11 a.m.
NED2 Entity disambiguation (via description) batch_6a005ab310f481909193c5c5fe322d2a completed May 10, 2026, 10:15 a.m.
Created at: April 10, 2026, 5:14 a.m.