Triple

T21595682
Position Surface form Disambiguated ID Type / Status
Subject Martin 4-0-4 E532891 entity
Predicate militaryDesignation P7137 FINISHED
Object RM‑1
RM‑1 is the U.S. military designation for the Martin 4-0-4, a twin‑engine piston airliner used primarily for passenger and transport duties in the mid‑20th century.
 E1491418 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: RM‑1 | Statement: [Martin 4-0-4, militaryDesignation, RM‑1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RM‑1
Context triple: [Martin 4-0-4, militaryDesignation, RM‑1]
  • A. MR-3
    MR-3 is the designation for Mercury-Redstone 3, the NASA mission that carried Alan Shepard on the first American crewed spaceflight in 1961.
  • B. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • C. RM-422
    RM-422 is a regional road in the municipality of Abanilla, Spain, providing local transport connectivity within the area.
  • D. RMZ-4
    RMZ-4 is an off-road-oriented trim level of the Suzuki Equator pickup truck, featuring enhanced suspension and rugged styling.
  • E. MR-63
    MR-63 is a retired model of Montreal Metro rolling stock that previously operated on the city’s subway system.
  • 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: RM‑1
Triple: [Martin 4-0-4, militaryDesignation, RM‑1]
Generated description
RM‑1 is the U.S. military designation for the Martin 4-0-4, a twin‑engine piston airliner used primarily for passenger and transport duties in the mid‑20th century.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RM‑1
Target entity description: RM‑1 is the U.S. military designation for the Martin 4-0-4, a twin‑engine piston airliner used primarily for passenger and transport duties in the mid‑20th century.
  • A. MR-3
    MR-3 is the designation for Mercury-Redstone 3, the NASA mission that carried Alan Shepard on the first American crewed spaceflight in 1961.
  • B. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • C. RM-422
    RM-422 is a regional road in the municipality of Abanilla, Spain, providing local transport connectivity within the area.
  • D. RMZ-4
    RMZ-4 is an off-road-oriented trim level of the Suzuki Equator pickup truck, featuring enhanced suspension and rugged styling.
  • E. MR-63
    MR-63 is a retired model of Montreal Metro rolling stock that previously operated on the city’s subway system.
  • 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_69e0c46251648190876f0427cf2d321b completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eefae15a7c819081627450ae726b0b completed April 27, 2026, 5:57 a.m.
NED1 Entity disambiguation (via context triple) batch_6a09f6860bdc8190a9457c4c125de8b2 completed May 17, 2026, 5:10 p.m.
NEDg Description generation batch_6a09f71df0308190b5953a76da60c6d4 completed May 17, 2026, 5:13 p.m.
NED2 Entity disambiguation (via description) batch_6a09f80784648190ae073b4db90032c1 completed May 17, 2026, 5:16 p.m.
Created at: April 16, 2026, 6:32 p.m.