Triple

T5178085
Position Surface form Disambiguated ID Type / Status
Subject Electro-Motive Division E116848 entity
Predicate alsoKnownAs P39 FINISHED
Object EMD
EMD is a major American manufacturer of diesel-electric locomotives and related railway equipment, historically known for its influential role in the development of modern rail transportation.
 E500042 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: EMD | Statement: [Electro-Motive Division, alsoKnownAs, EMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMD
Context triple: [Electro-Motive Division, alsoKnownAs, EMD]
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. EMD
    EMD is the vehicle registration code assigned to the German town of Emden.
  • C. EMU
    EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
  • D. EMU
    EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
  • E. EMU
    EMU is a public university located in Ypsilanti, Michigan, known for its diverse academic programs and strong emphasis on education, business, and health-related fields.
  • 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: EMD
Triple: [Electro-Motive Division, alsoKnownAs, EMD]
Generated description
EMD is a major American manufacturer of diesel-electric locomotives and related railway equipment, historically known for its influential role in the development of modern rail transportation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMD
Target entity description: EMD is a major American manufacturer of diesel-electric locomotives and related railway equipment, historically known for its influential role in the development of modern rail transportation.
  • A. EMD
    EMD is the commonly used abbreviation for the Engineering Management Division, a professional group focused on the practice and advancement of engineering management.
  • B. EMD
    EMD is the vehicle registration code assigned to the German town of Emden.
  • C. EMU
    EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
  • D. EMU
    EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
  • E. EMU
    EMU is a public university located in Ypsilanti, Michigan, known for its diverse academic programs and strong emphasis on education, business, and health-related fields.
  • 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_69bd446140f08190becb93c61158f27f completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7976339481909ece900de22064f2 completed March 20, 2026, 4:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bed95185ac819085fb42a69e014ec5 completed March 21, 2026, 5:45 p.m.
NEDg Description generation batch_69bedb0e6d248190b099c2b282efde19 completed March 21, 2026, 5:53 p.m.
NED2 Entity disambiguation (via description) batch_69bedb7c82d081908141c775cbed881e completed March 21, 2026, 5:55 p.m.
Created at: March 20, 2026, 1:45 p.m.