Triple

T27738326
Position Surface form Disambiguated ID Type / Status
Subject MatDatepicker E697581 entity
Predicate hasComponentSelector P122530 FINISHED
Object mat-datepicker 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: mat-datepicker | Statement: [MatDatepicker, hasComponentSelector, mat-datepicker]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasComponentSelector
Context triple: [MatDatepicker, hasComponentSelector, mat-datepicker]
  • A. hasSelector chosen
    Indicates that one entity specifies or identifies a particular part, segment, or subset of another entity through a selection mechanism.
  • B. hasComponentModel
    Indicates that an entity includes or is associated with a specific component model as part of its structure or configuration.
  • C. hasSelectionFor
    Indicates that one entity holds or specifies a chosen option, subset, or configuration on behalf of another entity.
  • D. hasNotableSelector
    Indicates that an entity is associated with a particularly important or distinguished selector used to identify or access it.
  • E. hasSubcomponent
    Indicates that one entity is a constituent part or component of another, larger entity.
  • 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_69ef590c3e288190ad54d2465af8ca4e completed April 27, 2026, 12:39 p.m.
NER Named-entity recognition batch_69ff3fb2318c81908a46c2f513608935 completed May 9, 2026, 2:07 p.m.
PD Predicate disambiguation batch_69ff3e96dcc48190819f6204680d84aa completed May 9, 2026, 2:03 p.m.
Created at: April 27, 2026, 3:13 p.m.