Triple

T6006700
Position Surface form Disambiguated ID Type / Status
Subject Public Law 93-383 E133726 entity
Predicate housingAssistanceModel P44706 FINISHED
Object tenant-based subsidies 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: tenant-based subsidies | Statement: [Public Law 93-383, housingAssistanceModel, tenant-based subsidies]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: housingAssistanceModel
Context triple: [Public Law 93-383, housingAssistanceModel, tenant-based subsidies]
  • A. housingForm
    Indicates the type or structure of housing associated with an entity (e.g., apartment, single-family home, dormitory).
  • B. focusesOnHousingSupport chosen
    Indicates that the primary attention or effort within a given context is directed toward providing or improving housing-related assistance or support.
  • C. providedHousingFor
    Indicates that one entity supplied or arranged housing or accommodation for another entity.
  • D. housingPattern
    Indicates the typical arrangement or distribution of housing units or residential structures within a given area or context.
  • E. hasHousingAccess
    Indicates that an entity has the ability, right, or opportunity to obtain or use suitable housing.
  • 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_69c00872444c8190bfaf1739dcec765c completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c04f13d9908190a11d9bef8652db93 completed March 22, 2026, 8:20 p.m.
PD Predicate disambiguation batch_69c049e4daf4819099bf870dc700e0a2 completed March 22, 2026, 7:58 p.m.
Created at: March 22, 2026, 4:06 p.m.