Triple

T13989458
Position Surface form Disambiguated ID Type / Status
Subject College of Engineering & Mines E336528 entity
Predicate acronym P43 FINISHED
Object CEM
CEM is the commonly used abbreviation for the College of Engineering & Mines, an academic unit focused on engineering and mining-related disciplines.
 E1073502 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: CEM | Statement: [College of Engineering & Mines, acronym, CEM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CEM
Context triple: [College of Engineering & Mines, acronym, CEM]
  • A. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • B. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • C. CM-CE
    CM-CE is the regional code for the Centre Region of Cameroon, which includes the capital city, Yaoundé.
  • D. CEMO
    CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
  • E. CEMAT
    CEMAT is the official abbreviation for the Chief of Staff of the French Army, the highest-ranking officer responsible for leading and overseeing France’s land forces.
  • 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: CEM
Triple: [College of Engineering & Mines, acronym, CEM]
Generated description
CEM is the commonly used abbreviation for the College of Engineering & Mines, an academic unit focused on engineering and mining-related disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CEM
Target entity description: CEM is the commonly used abbreviation for the College of Engineering & Mines, an academic unit focused on engineering and mining-related disciplines.
  • A. CEMA
    CEMA is the acronym for the French Chief of the Defence Staff, the highest-ranking military officer overseeing France’s armed forces.
  • B. CEMM
    CEMM is the official abbreviation for the Chief of Staff of the French Navy, the highest-ranking officer responsible for commanding and overseeing France’s naval forces.
  • C. CM-CE
    CM-CE is the regional code for the Centre Region of Cameroon, which includes the capital city, Yaoundé.
  • D. CEMO
    CEMO is a research center focused on advancing educational measurement, assessment, and related methodologies.
  • E. CEMAT
    CEMAT is the official abbreviation for the Chief of Staff of the French Army, the highest-ranking officer responsible for leading and overseeing France’s land forces.
  • 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_69d81c639e808190a0e4b4f3d31c6a59 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2eb22e388190904fc87765176c91 completed April 14, 2026, 12:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbac9604cc819088cde0ad8271ad48 completed May 6, 2026, 9:03 p.m.
NEDg Description generation batch_69fbad35be6c8190aa329fa947cbdcd9 completed May 6, 2026, 9:05 p.m.
NED2 Entity disambiguation (via description) batch_69fbae42ef2c8190b653d95de94042bc completed May 6, 2026, 9:10 p.m.
Created at: April 9, 2026, 10:18 p.m.