Triple

T27738026
Position Surface form Disambiguated ID Type / Status
Subject MatDialog E697574 entity
Predicate closeBehavior P171771 FINISHED
Object can close specific dialog via MatDialogRef.close 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: can close specific dialog via MatDialogRef.close | Statement: [MatDialog, closeBehavior, can close specific dialog via MatDialogRef.close]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: closeBehavior
Context triple: [MatDialog, closeBehavior, can close specific dialog via MatDialogRef.close]
  • A. closeEffect
    Indicates that one entity directly causes or significantly influences the termination, completion, or closing of another entity, event, or process.
  • B. closureBy
    Indicates that one entity causes, performs, or is responsible for the closing or termination of another entity, event, or process.
  • C. closingStimulus
    Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
  • D. closureEvent
    Indicates an event or action in which something is formally brought to an end, completed, or shut down.
  • E. closingEffect
    Indicates the effect or consequence that results from the act of closing something (e.g., a process, period, or object).
  • F. None of above. chosen

Provenance (4 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_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
PDg Predicate description generation batch_69f6a28b8ea881908733485374771c51 completed May 3, 2026, 1:19 a.m.
Created at: April 27, 2026, 3:13 p.m.