Triple

T4894551
Position Surface form Disambiguated ID Type / Status
Subject Petitions Committee E109642 entity
Predicate hasTypeOfPetition P16808 FINISHED
Object paper petitions 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: paper petitions | Statement: [Petitions Committee, hasTypeOfPetition, paper petitions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTypeOfPetition
Context triple: [Petitions Committee, hasTypeOfPetition, paper petitions]
  • A. containsPetition
    Indicates that one entity includes or holds a petition within it, either as content or as a component.
  • B. hasPetForm
    Indicates that one entity can transform into or assume the form of another entity that is characterized as a pet.
  • C. haveType chosen
    Indicates that an entity belongs to or is classified under a specified type or category.
  • D. hasTypeOfCase
    Indicates that an entity is associated with or classified under a particular type or category of case.
  • E. hasAppealsTo
    Indicates that one entity formally challenges or seeks review of a decision, judgment, or outcome through another entity or process.
  • 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_69bd4410bbf88190aad50d2451c863d6 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6ffabccc81909115ece1b04e2061 completed March 20, 2026, 4:04 p.m.
PD Predicate disambiguation batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 completed March 20, 2026, 3:47 p.m.
Created at: March 20, 2026, 1:28 p.m.