Triple

T1539465
Position Surface form Disambiguated ID Type / Status
Subject Sherbert test E32830 entity
Predicate statusAfterSmith P13710 FINISHED
Object significantly narrowed in constitutional free exercise cases 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: significantly narrowed in constitutional free exercise cases | Statement: [Sherbert test, statusAfterSmith, significantly narrowed in constitutional free exercise cases]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusAfterSmith
Context triple: [Sherbert test, statusAfterSmith, significantly narrowed in constitutional free exercise cases]
  • A. status
    Indicates the current condition, state, or standing of an entity within a given context.
  • B. handledAftermathOf
    Indicates that one entity took responsibility for dealing with the consequences or fallout that occurred after another entity’s actions or events.
  • C. laterStatus chosen
    Indicates that one entity represents a subsequent or resulting status or condition of another entity in time.
  • D. signedAfter
    Indicates that one signing event occurred later in time than another signing event.
  • E. revealedAfter
    Indicates that one piece of information, event, or state becomes known or disclosed only subsequent to another specified point in time or condition.
  • 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_69a885ed29088190a3c2d5a3d100c16e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa95c1a2948190a2b98469afec1a7d completed March 6, 2026, 8:52 a.m.
PD Predicate disambiguation batch_69a907b2453c8190a41f6b88c8217d1e completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.