Triple

T7834988
Position Surface form Disambiguated ID Type / Status
Subject Teacher in Space Project E181667 entity
Predicate publicEngagementMethod P47944 FINISHED
Object live lessons from space LITERAL 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: live lessons from space | Statement: [Teacher in Space Project, publicEngagementMethod, live lessons from space]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: publicEngagementMethod
Context triple: [Teacher in Space Project, publicEngagementMethod, live lessons from space]
  • A. agingMethod
    Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
  • B. seeksEngagementWith
    Indicates an entity’s active effort or intention to initiate or maintain interaction, involvement, or responsive connection with another entity.
  • C. engagementTo
    Indicates a formal promise or commitment between two entities to enter into a future partnership or binding relationship.
  • D. engagementCapability
    Indicates the ability or capacity of one entity to initiate, conduct, or sustain an interaction or engagement with another entity.
  • E. publicEngagementEvent chosen
    Indicates an event designed for interaction or communication with the general public or specific community audiences.
  • F. None of above.

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_69ca8284a25c8190a1a20afad30da792 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb064b872081908e269f4fe1b85436 completed March 30, 2026, 11:24 p.m.
PD Predicate disambiguation batch_69cae91e98988190abd4ece75932c589 completed March 30, 2026, 9:20 p.m.
Created at: March 30, 2026, 4:45 p.m.