Triple

T11654284
Position Surface form Disambiguated ID Type / Status
Subject Microsoft 365 Groups E276977 entity
Predicate canBeCreatedFrom P23101 FINISHED
Object Planner E56713 NE FINISHED

How this triple was built (2 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: Planner | Statement: [Microsoft 365 Groups, canBeCreatedFrom, Planner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Planner
Context triple: [Microsoft 365 Groups, canBeCreatedFrom, Planner]
  • A. Planner chosen
    Planner is a Microsoft 365 task and project management tool that helps teams organize, assign, and track work using visual boards and charts.
  • B. Planer
    Planer is a German surname borne by various notable individuals, including figures in the arts and sciences.
  • C. Planera
    Planera is a small genus of deciduous trees in the elm family, best known for the species Planera aquatica, commonly called the water elm.
  • D. Plandiste
    Plandiste is a small town and municipality in the South Banat region of Serbia, known for its agricultural surroundings and rural character.
  • E. Scheduler
    Scheduler is a core RxJS abstraction that controls when and how observable notifications are executed, enabling precise management of concurrency and timing in reactive streams.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ef138faf4c81908043c71550048d75 completed April 27, 2026, 7:43 a.m.
Created at: April 8, 2026, 9:39 p.m.