Triple

T2555061
Position Surface form Disambiguated ID Type / Status
Subject Microsoft Loop E56712 entity
Predicate usesConcept P531 FINISHED
Object Loop pages
Loop pages are flexible, collaborative workspaces within Microsoft Loop where users can organize and edit collections of Loop components, content, and tasks in real time.
 E276974 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: Loop pages | Statement: [Microsoft Loop, usesConcept, Loop pages]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loop pages
Context triple: [Microsoft Loop, usesConcept, Loop pages]
  • A. Stephanus pagination
    Stephanus pagination is the standard scholarly system of page and section numbers used to reference and cite passages in the works of Plato.
  • B. Pages
    Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
  • C. Page
    Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
  • D. Loop 101
    Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
  • E. Outer Loop
    Outer Loop is the counterclockwise carriageway of the Capital Beltway (Interstate 495) encircling the Washington, D.C. metropolitan area.
  • 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: Loop pages
Triple: [Microsoft Loop, usesConcept, Loop pages]
Generated description
Loop pages are flexible, collaborative workspaces within Microsoft Loop where users can organize and edit collections of Loop components, content, and tasks in real time.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loop pages
Target entity description: Loop pages are flexible, collaborative workspaces within Microsoft Loop where users can organize and edit collections of Loop components, content, and tasks in real time.
  • A. Stephanus pagination
    Stephanus pagination is the standard scholarly system of page and section numbers used to reference and cite passages in the works of Plato.
  • B. Pages
    Pages is Apple's word processing and page layout application, part of the iWork productivity suite for macOS and iOS.
  • C. Page
    Page is a common English surname borne by numerous notable individuals across fields such as technology, entertainment, and politics.
  • D. Loop 101
    Loop 101 is a major freeway encircling much of the Phoenix metropolitan area, connecting numerous suburbs and serving as a key route for regional traffic.
  • E. Outer Loop
    Outer Loop is the counterclockwise carriageway of the Capital Beltway (Interstate 495) encircling the Washington, D.C. metropolitan area.
  • 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_69ab4a4bfec081908039988ec4c86e28 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd30d20e081908587c76064573150 completed March 7, 2026, 7:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69af5d1ad6b4819097f1d18a12aa2b89 completed March 9, 2026, 11:51 p.m.
NEDg Description generation batch_69af5dea244c81909bd6bcdba0edf958 completed March 9, 2026, 11:55 p.m.
NED2 Entity disambiguation (via description) batch_69af5e66a39c81909a49c272cd595c84 completed March 9, 2026, 11:57 p.m.
Created at: March 6, 2026, 9:48 p.m.