Triple

T23916885
Position Surface form Disambiguated ID Type / Status
Subject Legal Services Program E602106 entity
Predicate supportedActivities P2186 FINISHED
Object impact litigation 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: impact litigation | Statement: [Legal Services Program, supportedActivities, impact litigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportedActivities
Context triple: [Legal Services Program, supportedActivities, impact litigation]
  • A. supportsActivity chosen
    Indicates that one entity provides the necessary conditions, resources, or environment for another entity’s activity to occur or be sustained.
  • B. supportedAct
    Indicates that one entity provided assistance, endorsement, or backing for a particular action or activity performed by another entity.
  • C. supportedActFor
    Indicates that one entity provided assistance, endorsement, or backing for another entity’s action or activity.
  • D. supportedIn
    Indicates that one entity is valid, applicable, or functionally enabled within the context, environment, platform, or scope defined by another entity.
  • E. supportedAs
    Indicates that one entity is accepted, recognized, or treated as being in the role, type, or representation of another 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_69e2953a187081908346a9f36e85fc98 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce9a744c819080bd30176b8de9a0 completed April 29, 2026, 9:25 a.m.
PD Predicate disambiguation batch_69f16151ebdc819086e9e1d7cc1f4f3c completed April 29, 2026, 1:39 a.m.
Created at: April 17, 2026, 8:40 p.m.