Triple

T1892253
Position Surface form Disambiguated ID Type / Status
Subject IBM RS/6000 E41897 entity
Predicate usedFor P98 FINISHED
Object CAE
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
 E209750 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: CAE | Statement: [IBM RS/6000, usedFor, CAE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: CAE
Context triple: [IBM RS/6000, usedFor, CAE]
  • A. CAI
    CAI is the three-letter IATA airport code for Cairo International Airport, the main international gateway to Cairo, Egypt.
  • B. CIE
    CIE is the post-nominal abbreviation for a Companion of the Order of the Indian Empire, a British order of chivalry established during the period of the British Raj.
  • C. CET
    CET is the standard time zone used by many countries in central Europe, typically one hour ahead of Coordinated Universal Time (UTC+1).
  • D. CEB
    CEB is the acronym for the United Nations Chief Executives Board for Coordination, the highest-level coordination forum of the UN system’s executive heads.
  • E. CAB
    CAB is the abbreviated name for the Community Affairs Bureau, a division typically responsible for fostering relationships between law enforcement agencies and the communities they serve.
  • 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: CAE
Triple: [IBM RS/6000, usedFor, CAE]
Generated description
CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: CAE
Target entity description: CAE (Computer-Aided Engineering) is the use of computer software to simulate, analyze, and optimize engineering designs and processes.
  • A. CAI
    CAI is the three-letter IATA airport code for Cairo International Airport, the main international gateway to Cairo, Egypt.
  • B. CIE
    CIE is the post-nominal abbreviation for a Companion of the Order of the Indian Empire, a British order of chivalry established during the period of the British Raj.
  • C. CET
    CET is the standard time zone used by many countries in central Europe, typically one hour ahead of Coordinated Universal Time (UTC+1).
  • D. CEB
    CEB is the acronym for the United Nations Chief Executives Board for Coordination, the highest-level coordination forum of the UN system’s executive heads.
  • E. CAB
    CAB is the abbreviated name for the Community Affairs Bureau, a division typically responsible for fostering relationships between law enforcement agencies and the communities they serve.
  • 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_69a8864b6de0819098d089f6a1b910a7 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb145f96c8190a71bb9e442892e68 completed March 7, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf68a8d48190a3360557def67692 completed March 8, 2026, 8:43 p.m.
NEDg Description generation batch_69addff3e9a081908cba77103cd60171 completed March 8, 2026, 8:45 p.m.
NED2 Entity disambiguation (via description) batch_69ade07143808190b5dfe380428eb496 completed March 8, 2026, 8:47 p.m.
Created at: March 4, 2026, 7:34 p.m.