Triple

T11653865
Position Surface form Disambiguated ID Type / Status
Subject Azure Resource Manager E276970 entity
Predicate predecessorOf P97 FINISHED
Object Bicep language
Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
E937577 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: Bicep language | Statement: [Azure Resource Manager, predecessorOf, Bicep language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bicep language
Context triple: [Azure Resource Manager, predecessorOf, Bicep language]
  • A. Bench language
    Bench language is an Afro-Asiatic Omotic language spoken by the Bench people of southwestern Ethiopia.
  • B. Pear language
    Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
  • C. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • D. Beta (programming language)
    Beta is an object-oriented programming language developed as a successor to Simula, notable for its unification of classes and procedures into a single abstraction called patterns.
  • E. Mimi-D language
    Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
  • 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: Bicep language
Triple: [Azure Resource Manager, predecessorOf, Bicep language]
Generated description
Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bicep language
Target entity description: Bicep language is a domain-specific, declarative language developed by Microsoft for authoring Azure infrastructure-as-code templates more simply and reliably than traditional JSON-based ARM templates.
  • A. Bench language
    Bench language is an Afro-Asiatic Omotic language spoken by the Bench people of southwestern Ethiopia.
  • B. Pear language
    Pear language is an Austroasiatic language of the Pearic branch spoken by the Pear people of Cambodia and considered highly endangered.
  • C. Mono language
    Mono language is a Native American Uto-Aztecan language traditionally spoken by the Mono people of eastern California.
  • D. Beta (programming language)
    Beta is an object-oriented programming language developed as a successor to Simula, notable for its unification of classes and procedures into a single abstraction called patterns.
  • E. Mimi-D language
    Mimi-D is an extinct and poorly documented language of Chad, historically spoken by a small ethnic group and only fragmentarily known from early 20th-century records.
  • 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_69d6aafbb3c081908a9cdb4ecb8d981d completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a2d01f9c8190849f252f22519550 completed April 10, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee880eccc4819096e2b3305cdb3239 completed April 26, 2026, 9:47 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.