Triple

T9492710
Position Surface form Disambiguated ID Type / Status
Subject East Midlands Parkway E228928 entity
Predicate stationCode P1289 FINISHED
Object EMD
EMD is the National Rail station code for East Midlands Parkway railway station in England.
 E801934 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: [East Midlands Parkway, stationCode, EMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMD
Context triple: [East Midlands Parkway, stationCode, 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. 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. 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: [East Midlands Parkway, stationCode, EMD]
Generated description
EMD is the National Rail station code for East Midlands Parkway railway station in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMD
Target entity description: EMD is the National Rail station code for East Midlands Parkway railway station in England.
  • 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. 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. 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_69ca847424f081908180305555139f7a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd80ca26bc819084add20027aea4a5 completed April 1, 2026, 8:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d27c0808190baf5ae04a1b915bb completed April 4, 2026, 3:24 p.m.
NEDg Description generation batch_69d12da44d7c8190afb11ae3009a79e5 completed April 4, 2026, 3:26 p.m.
NED2 Entity disambiguation (via description) batch_69d12e1459348190aed583b2364a53dd completed April 4, 2026, 3:28 p.m.
Created at: March 30, 2026, 7:56 p.m.