Triple

T15270874
Position Surface form Disambiguated ID Type / Status
Subject Lovell v. City of Griffin E365015 entity
Predicate petitionerActivity P48591 FINISHED
Object distribution of religious pamphlets 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: distribution of religious pamphlets | Statement: [Lovell v. City of Griffin, petitionerActivity, distribution of religious pamphlets]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: petitionerActivity
Context triple: [Lovell v. City of Griffin, petitionerActivity, distribution of religious pamphlets]
  • A. postPoliticalActivity
    Indicates that an entity engages in political actions or activities following a particular event, period, or condition.
  • B. petitioner
    Indicates a relationship where one party formally requests a legal remedy or action from a court or authority.
  • C. oppositionActivity
    Indicates that one entity engages in actions or behaviors that resist, counter, or work against another entity, its goals, or its activities.
  • D. associatedActivity chosen
    Indicates that one entity is linked to, involved in, or characterized by a particular activity or set of activities.
  • E. activity
    Indicates that an entity is engaged in or performing a particular action, behavior, 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
PD Predicate disambiguation batch_69deca90739081909bd1b797cdb8af2b completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.