Triple

T13556067
Position Surface form Disambiguated ID Type / Status
Subject Mitsubishi Group E323776 entity
Predicate hasMember P10 FINISHED
Object Mitsubishi Aluminum E554261 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: Mitsubishi Aluminum | Statement: [Mitsubishi Group, hasMember, Mitsubishi Aluminum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mitsubishi Aluminum
Context triple: [Mitsubishi Group, hasMember, Mitsubishi Aluminum]
  • A. Mitsubishi Aluminum chosen
    Mitsubishi Aluminum is a Mitsubishi Group company specializing in the production and processing of aluminum materials and related products.
  • B. Kaiser Aluminum
    Kaiser Aluminum is an American industrial company specializing in the production of fabricated aluminum products for aerospace, automotive, and other high-performance applications.
  • C. Alcan
    Alcan is a French publishing house known for issuing significant academic and sociological works in the late 19th and early 20th centuries.
  • D. Alcoa
    Alcoa is a major American industrial corporation known primarily for its global production of aluminum and related engineered products.
  • E. Alcoa
    Alcoa is a small industrial city in Blount County, Tennessee, historically centered around aluminum production and part of the Knoxville metropolitan area.
  • 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_69dbaff3063c8190bd20149b3f7df352 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da95b7c8190af4fae155f01d3af completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:47 p.m.