Triple

T12032542
Position Surface form Disambiguated ID Type / Status
Subject Electronic Miscellaneous Document E286447 entity
Predicate abbreviation P43 FINISHED
Object EMD
EMD is an industry-standard electronic document used in air travel to record and manage ancillary services and fees such as baggage, seat selection, and other optional charges.
 E961039 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: [Electronic Miscellaneous Document, abbreviation, EMD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMD
Context triple: [Electronic Miscellaneous Document, abbreviation, 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 National Rail station code for East Midlands Parkway railway station in England.
  • C. EMD
    EMD is the vehicle registration code assigned to the German town of Emden.
  • D. 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.
  • E. EMU
    EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
  • 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: [Electronic Miscellaneous Document, abbreviation, EMD]
Generated description
EMD is an industry-standard electronic document used in air travel to record and manage ancillary services and fees such as baggage, seat selection, and other optional charges.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMD
Target entity description: EMD is an industry-standard electronic document used in air travel to record and manage ancillary services and fees such as baggage, seat selection, and other optional charges.
  • 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. EMD
    EMD is the National Rail station code for East Midlands Parkway railway station in England.
  • E. EMU
    EMU (Electric Multiple Unit) is a self-propelled train consisting of multiple carriages powered by electricity, commonly used for passenger rail services.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9040724ec8190808f334013ddc6d6 completed April 10, 2026, 2:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d6ec4b8819093ff50254a851444 completed May 1, 2026, 12:32 p.m.
NEDg Description generation batch_69f53d930714819080f92d223d930389 completed May 1, 2026, 11:56 p.m.
NED2 Entity disambiguation (via description) batch_69f56495830c8190ad5e1767f251b4c5 completed May 2, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:47 p.m.