Triple

T2347036
Position Surface form Disambiguated ID Type / Status
Subject Title XVIII of the Social Security Act E45153 entity
Predicate hasTargetPopulation P17586 FINISHED
Object people aged 65 and older in the United States 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: people aged 65 and older in the United States | Statement: [Title XVIII of the Social Security Act, hasTargetPopulation, people aged 65 and older in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasTargetPopulation
Context triple: [Title XVIII of the Social Security Act, hasTargetPopulation, people aged 65 and older in the United States]
  • A. targetedPopulation chosen
    Indicates the group of individuals or entities that an action, intervention, or effect is specifically directed toward.
  • B. hasPopulationStatus
    Indicates the current demographic condition or classification of a population associated with an entity.
  • C. hasServiceAreaPopulation
    Indicates that an entity has a service area characterized by a specific population size or count.
  • D. supportedPopulation
    Indicates that one entity provides assistance, resources, or services to sustain or benefit a specified group of people.
  • E. hasPopulationType
    Indicates that an entity’s population is classified according to a specific type or category (e.g., demographic, biological, or statistical grouping).
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abcade3c808190ab3803538ccbe620 completed March 7, 2026, 6:51 a.m.
PD Predicate disambiguation batch_69abc59616a8819099711834e6f1ccd6 completed March 7, 2026, 6:28 a.m.
Created at: March 4, 2026, 7:52 p.m.