Triple

T6167580
Position Surface form Disambiguated ID Type / Status
Subject Individuals with Disabilities Education Act E137605 entity
Predicate partCFocus P69178 FINISHED
Object infants and toddlers with disabilities 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: infants and toddlers with disabilities | Statement: [Individuals with Disabilities Education Act, partCFocus, infants and toddlers with disabilities]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: partCFocus
Context triple: [Individuals with Disabilities Education Act, partCFocus, infants and toddlers with disabilities]
  • A. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. formerFocus
    Indicates that an entity previously served as the primary focus or main subject of attention, but no longer holds that status.
  • C. focusType
    Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
  • D. secondPartFocus
    Indicates that the communicative or informational focus is placed on the second part or element in a two-part structure or relation.
  • E. focusesBy
    Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect of it.
  • F. None of above. chosen

Provenance (4 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_69c008a68c508190a8d78245c865960e completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c05d647ae48190a1db07b4f4a06e67 completed March 22, 2026, 9:21 p.m.
PD Predicate disambiguation batch_69c055f5b81481908819515cdc334ae6 completed March 22, 2026, 8:49 p.m.
PDg Predicate description generation batch_69c056df95ac8190bc5efe050d3af864 completed March 22, 2026, 8:53 p.m.
Created at: March 22, 2026, 4:17 p.m.