Triple

T23154345
Position Surface form Disambiguated ID Type / Status
Subject Eclipse Modeling Framework E578400 entity
Predicate shortName P43 FINISHED
Object EMF
EMF is a widely used Eclipse-based modeling framework for building structured data models and generating corresponding Java code and tools.
 E1574249 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: EMF | Statement: [Eclipse Modeling Framework, shortName, EMF]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EMF
Context triple: [Eclipse Modeling Framework, shortName, EMF]
  • A. EMF
    EMF is the former name of the World Economic Forum, an international organization that engages political, business, and other leaders to shape global, regional, and industry agendas.
  • B. EMI
    EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
  • C. EMI
    EMI was the European Monetary Institute, a precursor institution to the European Central Bank that helped prepare for the introduction of the euro and the coordination of European monetary policy.
  • D. EMM
    EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
  • E. EMM
    EMM is the United Arab Emirates’ Emirates Mars Mission, an interplanetary spacecraft project launched to study the Martian atmosphere and climate.
  • 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: EMF
Triple: [Eclipse Modeling Framework, shortName, EMF]
Generated description
EMF is a widely used Eclipse-based modeling framework for building structured data models and generating corresponding Java code and tools.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EMF
Target entity description: EMF is a widely used Eclipse-based modeling framework for building structured data models and generating corresponding Java code and tools.
  • A. EMF
    EMF is the former name of the World Economic Forum, an international organization that engages political, business, and other leaders to shape global, regional, and industry agendas.
  • B. EMI
    EMI was a major British music company and record label group known for signing and distributing many of the world’s leading recording artists.
  • C. EMI
    EMI was the European Monetary Institute, a precursor institution to the European Central Bank that helped prepare for the introduction of the euro and the coordination of European monetary policy.
  • D. EMM
    EMM is the United Arab Emirates’ Emirates Mars Mission, an interplanetary spacecraft project launched to study the Martian atmosphere and climate.
  • E. EMM
    EMM is a peer-reviewed scientific journal focusing on translational and molecular medicine research.
  • 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_69e245fb8de081908f0eba7b5fd75bc4 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18efbe9a08190bcb6e822b8eab544 completed April 29, 2026, 4:54 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c309c3da48190b07c64b10fda58ff completed May 19, 2026, 9:42 a.m.
NEDg Description generation batch_6a0c31dd458c8190b8e98870dd5e19c5 completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c325f5c248190b35e2c88b384ac31 completed May 19, 2026, 9:50 a.m.
Created at: April 17, 2026, 4:01 p.m.