Triple

T5887977
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi E130915 entity
Predicate hasMember P10 FINISHED
Object Mitsubishi UFJ NICOS
Mitsubishi UFJ NICOS is a Japanese credit card and consumer finance company within the Mitsubishi UFJ Financial Group.
E554268 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: Mitsubishi UFJ NICOS | Statement: [Mitsubishi, hasMember, Mitsubishi UFJ NICOS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi UFJ NICOS
Context triple: [Mitsubishi, hasMember, Mitsubishi UFJ NICOS]
  • A. Nifty Bank
    Nifty Bank is a benchmark stock market index in India that tracks the performance of leading banking sector companies listed on the National Stock Exchange.
  • B. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • C. Nikkei Inc.
    Nikkei Inc. is a major Japanese media and financial information company best known for publishing the Nikkei newspaper and owning the Financial Times.
  • D. Mizuho
    Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
  • E. Mizuho
    Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
  • 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: Mitsubishi UFJ NICOS
Triple: [Mitsubishi, hasMember, Mitsubishi UFJ NICOS]
Generated description
Mitsubishi UFJ NICOS is a Japanese credit card and consumer finance company within the Mitsubishi UFJ Financial Group.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mitsubishi UFJ NICOS
Target entity description: Mitsubishi UFJ NICOS is a Japanese credit card and consumer finance company within the Mitsubishi UFJ Financial Group.
  • A. Nifty Bank
    Nifty Bank is a benchmark stock market index in India that tracks the performance of leading banking sector companies listed on the National Stock Exchange.
  • B. Nomura
    Nomura is a Japanese surname borne by numerous notable figures in fields such as business, sports, and the arts.
  • C. Nikkei Inc.
    Nikkei Inc. is a major Japanese media and financial information company best known for publishing the Nikkei newspaper and owning the Financial Times.
  • D. Mizuho
    Mizuho is a high-speed Shinkansen train service in Japan that operates primarily between major cities such as Osaka and Kagoshima on the Sanyo and Kyushu Shinkansen lines.
  • E. Mizuho
    Mizuho is a town in Tokyo Metropolis, Japan, known for its suburban character and proximity to the Tama area.
  • 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_69c0085628dc8190b334c1b44c067efc completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c036af6330819081d9fa98a8c26633 completed March 22, 2026, 6:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0b141a93081908ad4a64f9a96dce4 completed March 23, 2026, 3:19 a.m.
NEDg Description generation batch_69c0b22d661c8190a055abd3ca6fa92f completed March 23, 2026, 3:23 a.m.
NED2 Entity disambiguation (via description) batch_69c0b608a10881908c9bca7d09a99b05 completed March 23, 2026, 3:39 a.m.
Created at: March 22, 2026, 3:57 p.m.