Triple

T3417645
Position Surface form Disambiguated ID Type / Status
Subject Superior Court of Pennsylvania E72047 entity
Predicate judgeRetentionMethod P19634 FINISHED
Object retention election 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: retention election | Statement: [Superior Court of Pennsylvania, judgeRetentionMethod, retention election]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: judgeRetentionMethod
Context triple: [Superior Court of Pennsylvania, judgeRetentionMethod, retention election]
  • A. retentionMethod
    Indicates the method or strategy used to retain or keep something (such as data, customers, or resources) over time.
  • B. judgesRetainedBy chosen
    Indicates that one or more judges continue to hold their positions under the authority, decision, or retention mechanism of a specified entity.
  • C. leafRetention
    Indicates whether an entity retains its leaves (e.g., remains evergreen) or sheds them seasonally.
  • D. judgeAppointmentBy
    Indicates that one entity is appointed to the role of judging or evaluating another entity by a specific authority or process.
  • E. judgeFrom
    Indicates that one entity forms an opinion, evaluation, or conclusion about something based on another specified source, basis, or perspective.
  • 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_69ad85ad38e48190b7660c5118a35289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb92c20fc81909b5debced20ec083 completed March 8, 2026, 6 p.m.
PD Predicate disambiguation batch_69adadfcbc38819080852c18240451c5 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:15 p.m.