Triple

T11655274
Position Surface form Disambiguated ID Type / Status
Subject DevOps E276998 entity
Predicate relatedTo P37 FINISHED
Object Site Reliability Engineering
Site Reliability Engineering is a discipline that applies software engineering principles to infrastructure and operations to build scalable, reliable, and highly available systems.
 E276998 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: Site Reliability Engineering | Statement: [DevOps, relatedTo, Site Reliability Engineering]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Site Reliability Engineering
Context triple: [DevOps, relatedTo, Site Reliability Engineering]
  • A. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • B. SRE
    SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
  • C. DevOps
    DevOps is a collaborative software development and IT operations approach that emphasizes automation, continuous integration and delivery, and rapid, reliable deployment of applications.
  • D. Ops
    Ops is a Roman fertility and earth goddess associated with abundance, the harvest, and the well-being of the state.
  • E. Machine Learning Engineering for Production (MLOps)
    Machine Learning Engineering for Production (MLOps) is a specialized online course that teaches how to design, deploy, and maintain scalable, reliable machine learning systems in real-world production environments.
  • 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: Site Reliability Engineering
Triple: [DevOps, relatedTo, Site Reliability Engineering]
Generated description
Site Reliability Engineering is a discipline that applies software engineering principles to infrastructure and operations to build scalable, reliable, and highly available systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Site Reliability Engineering
Target entity description: Site Reliability Engineering is a discipline that applies software engineering principles to infrastructure and operations to build scalable, reliable, and highly available systems.
  • A. SRE
    SRE is the Spanish acronym for Mexico’s Secretariat of Foreign Affairs, the federal ministry responsible for conducting the country’s international relations and diplomacy.
  • B. SRE
    SRE is the IATA airport code for Alcantarí International Airport, which serves the city of Sucre in Bolivia.
  • C. DevOps chosen
    DevOps is a collaborative software development and IT operations approach that emphasizes automation, continuous integration and delivery, and rapid, reliable deployment of applications.
  • D. Ops
    Ops is a Roman fertility and earth goddess associated with abundance, the harvest, and the well-being of the state.
  • E. Machine Learning Engineering for Production (MLOps)
    Machine Learning Engineering for Production (MLOps) is a specialized online course that teaches how to design, deploy, and maintain scalable, reliable machine learning systems in real-world production environments.
  • F. None of above.

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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a3cee010819089cffdbefe5a6efb completed April 10, 2026, 7:16 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee88166900819095063f045be44bed completed April 26, 2026, 9:48 p.m.
NEDg Description generation batch_69eeb315ebc48190a0f6ff0dc8afd462 completed April 27, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69eecd954b348190bf2f3ad66acbf1b7 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:39 p.m.