Triple

T32415695
Position Surface form Disambiguated ID Type / Status
Subject Azure workloads E828325 entity
Predicate taggedWith P51475 FINISHED
Object Azure resource tags
Azure resource tags are user-defined key-value metadata pairs applied to Azure resources to organize, categorize, and manage them for purposes like cost tracking, automation, and governance.
 E2005595 NE FINISHED

How this triple was built (3 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: Azure resource tags | Statement: [Azure workloads, taggedWith, Azure resource tags]
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: Azure resource tags
Triple: [Azure workloads, taggedWith, Azure resource tags]
Generated description
Azure resource tags are user-defined key-value metadata pairs applied to Azure resources to organize, categorize, and manage them for purposes like cost tracking, automation, and governance.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: taggedWith
Context triple: [Azure workloads, taggedWith, Azure resource tags]
  • A. tagtIn
    Indicates that one entity is tagged or labeled as being located within or associated with the interior of another entity.
  • B. mentionedWith
    Indicates that two entities are mentioned together or in close association within the same context, such as a document, sentence, or conversation.
  • C. associatedWithLabel chosen
    Indicates that an entity is connected or related to a particular label or tag used to categorize or identify it.
  • D. associatedWithText
    Indicates that an entity has a contextual or semantic connection to a specific piece of text.
  • E. hasTagmata
    Indicates that an organism possesses distinct functional body regions (tagmata) into which its body is divided.
  • F. None of above.

Provenance (6 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_69f34919f300819092b541c6277cd68a completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6c27c4a9081909dff89529e04cf52 completed May 3, 2026, 3:35 a.m.
NED1 Entity disambiguation (via context triple) batch_6a344f221f6481908c40eae36a406f3f completed June 18, 2026, 8:03 p.m.
NEDg Description generation batch_6a3452fea80481909309b5527f4fbf1d completed June 18, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a345372eb8881909f705cbe15b9c45b completed June 18, 2026, 8:22 p.m.
PD Predicate disambiguation batch_69f6ba6eb32c8190bf405b2011fa48f7 completed May 3, 2026, 3:01 a.m.
Created at: May 1, 2026, 12:54 a.m.