Triple

T1636061
Position Surface form Disambiguated ID Type / Status
Subject Unified Modeling Language E35361 entity
Predicate relatedStandard P37 FINISHED
Object BPMN
BPMN (Business Process Model and Notation) is a standardized graphical notation used to model and visualize business processes in a workflow.
 E184310 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: BPMN | Statement: [Unified Modeling Language, relatedStandard, BPMN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BPMN
Context triple: [Unified Modeling Language, relatedStandard, BPMN]
  • A. DFD
    DFD is the commonly used abbreviation for the Division of Fluid Dynamics, a professional organization focused on the study and advancement of fluid mechanics research.
  • B. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • C. DAG
    DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
  • D. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • E. RPA
    RPA is the acronym for the Rural Payments Agency, the UK government body responsible for administering agricultural and rural development payments to farmers and land managers.
  • 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: BPMN
Triple: [Unified Modeling Language, relatedStandard, BPMN]
Generated description
BPMN (Business Process Model and Notation) is a standardized graphical notation used to model and visualize business processes in a workflow.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BPMN
Target entity description: BPMN (Business Process Model and Notation) is a standardized graphical notation used to model and visualize business processes in a workflow.
  • A. DFD
    DFD is the commonly used abbreviation for the Division of Fluid Dynamics, a professional organization focused on the study and advancement of fluid mechanics research.
  • B. BMP
    BMP is the Basic Multilingual Plane of Unicode, the primary block of code points that encodes the most commonly used characters from modern and many historic writing systems.
  • C. DAG
    DAG is the National Rail station code for Dalgety Bay railway station in Fife, Scotland.
  • D. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • E. RPA
    RPA is the acronym for the Rural Payments Agency, the UK government body responsible for administering agricultural and rural development payments to farmers and land managers.
  • 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_69a886036bc081909ff5de16dbe5e8ea completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a90a17e8e08190afb78a953ab920ec completed March 5, 2026, 4:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad58dbd0608190be207ab2bcdc9eef completed March 8, 2026, 11:09 a.m.
NEDg Description generation batch_69ad5a625d088190bbacbb69a0569d49 completed March 8, 2026, 11:15 a.m.
NED2 Entity disambiguation (via description) batch_69ad5ae605f88190b5e42d7cf923e9bb completed March 8, 2026, 11:17 a.m.
Created at: March 4, 2026, 7:28 p.m.