Triple

T8238153
Position Surface form Disambiguated ID Type / Status
Subject Royal Electrical and Mechanical Engineers E192463 entity
Predicate abbreviation P43 FINISHED
Object REME
REME is a corps of the British Army responsible for the maintenance, repair, and recovery of the Army’s electrical and mechanical equipment.
E720874 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: REME | Statement: [Royal Electrical and Mechanical Engineers, abbreviation, REME]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: REME
Context triple: [Royal Electrical and Mechanical Engineers, abbreviation, REME]
  • A. Remm
    Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
  • B. Rems
    The Rems is a river in the German state of Baden-Württemberg that flows through the Swabian Jura and into the Neckar.
  • C. REMS
    REMS is a meteorological instrument suite on NASA's Curiosity rover that measures Martian weather and atmospheric conditions.
  • D. Remy Zero
    Remy Zero is an American alternative rock band best known for their song "Save Me," which gained widespread recognition as the opening theme for the television series Smallville.
  • E. Rehe
    Rehe was a historical province in northeastern China that served as a strategic frontier region between the Great Wall and Manchuria.
  • 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: REME
Triple: [Royal Electrical and Mechanical Engineers, abbreviation, REME]
Generated description
REME is a corps of the British Army responsible for the maintenance, repair, and recovery of the Army’s electrical and mechanical equipment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: REME
Target entity description: REME is a corps of the British Army responsible for the maintenance, repair, and recovery of the Army’s electrical and mechanical equipment.
  • A. Remm
    Remm is a Japanese hotel brand known for its compact, design-focused “sleep-centric” business hotels operated by Hankyu Hanshin Hotels.
  • B. Rems
    The Rems is a river in the German state of Baden-Württemberg that flows through the Swabian Jura and into the Neckar.
  • C. REMS
    REMS is a meteorological instrument suite on NASA's Curiosity rover that measures Martian weather and atmospheric conditions.
  • D. Remy Zero
    Remy Zero is an American alternative rock band best known for their song "Save Me," which gained widespread recognition as the opening theme for the television series Smallville.
  • E. Rehe
    Rehe was a historical province in northeastern China that served as a strategic frontier region between the Great Wall and Manchuria.
  • 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_69ca82dc8f148190a2c75a98501a7b91 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb783a8cf48190bf85394fd3bd79e2 completed March 31, 2026, 7:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3504e6ac8190b4cb12c80a7e7fc0 completed April 1, 2026, 3:08 p.m.
NEDg Description generation batch_69cd37a47f3c81909491e9b0316c32f0 completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ecc8d68819099932b1ecefc0d36 completed April 1, 2026, 4:58 p.m.
Created at: March 30, 2026, 5:47 p.m.