Triple

T6583172
Position Surface form Disambiguated ID Type / Status
Subject Larrelt E157350 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object EMD E157342 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: EMD | Statement: [Larrelt, vehicleRegistrationCode, EMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EMD
Context triple: [Larrelt, vehicleRegistrationCode, 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 chosen
    EMD is the vehicle registration code assigned to the German town of Emden.
  • C. 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.
  • D. EMU
    EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
  • E. EMU
    EMU is the European Union’s framework for coordinating economic policy and managing the single currency, the euro, among participating member states.
  • 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_69c6882b3a108190b3a9eb343ae4162c completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6ae938184819088234aad9cc997e1 completed March 27, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d572c4708190844f4b1abee8ca86 completed March 27, 2026, 7:07 p.m.
Created at: March 27, 2026, 1:54 p.m.