Triple

T2533143
Position Surface form Disambiguated ID Type / Status
Subject Abrams v. United States E56207 entity
Predicate speechTypeAtIssue P29536 FINISHED
Object leaflets in English and Yiddish 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: leaflets in English and Yiddish | Statement: [Abrams v. United States, speechTypeAtIssue, leaflets in English and Yiddish]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: speechTypeAtIssue
Context triple: [Abrams v. United States, speechTypeAtIssue, leaflets in English and Yiddish]
  • A. speechType chosen
    Indicates the specific category or form of spoken or written communication that an utterance or speech act belongs to (e.g., question, statement, command).
  • B. politicalIssueIn
    Indicates that a political issue is relevant to, occurs within, or is associated with a particular geographic or political region.
  • C. speechAct
    Indicates that one entity performs a communicative action (such as stating, asking, commanding, or promising) directed toward another entity or audience.
  • D. spokenOn
    Indicates that an utterance or speech act occurred at or during a specific time or date.
  • E. politicalIssueFor
    Indicates a relationship where a particular topic, problem, or policy area is considered a matter of political concern or debate for a given 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd27afe7c8190984e10d3f3d5586b completed March 7, 2026, 7:23 a.m.
PD Predicate disambiguation batch_69abd0c2e34c8190a914d5c2afba147c completed March 7, 2026, 7:16 a.m.
Created at: March 6, 2026, 9:47 p.m.