Triple

T15835940
Position Surface form Disambiguated ID Type / Status
Subject Home Affordable Modification Program E383983 entity
Predicate providesIncentiveTo P79344 FINISHED
Object mortgage servicers 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: mortgage servicers | Statement: [Home Affordable Modification Program, providesIncentiveTo, mortgage servicers]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providesIncentiveTo
Context triple: [Home Affordable Modification Program, providesIncentiveTo, mortgage servicers]
  • A. providesIncentivesTo chosen
    Indicates that one entity offers rewards, benefits, or motivations to another entity to encourage a desired behavior or outcome.
  • B. usesIncentive
    Indicates that one entity employs or applies an incentive (such as a reward, benefit, or motivation) to influence the behavior or decisions of another entity.
  • C. offersIncentive
    Indicates that one entity provides a reward, benefit, or motivation to another entity to encourage a specific action or behavior.
  • D. typeOfIncentive
    Indicates the specific kind or category of incentive associated with an entity or action.
  • E. ownerIncentive
    Indicates that an owner has a motivation, benefit, or reward associated with a particular entity, action, or outcome.
  • 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_69d86da34c888190976e06c4019d415a completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e142e0e1cc8190851b30b03cf9c9b8 completed April 16, 2026, 8:13 p.m.
PD Predicate disambiguation batch_69e005418f588190824d91ff7974dada completed April 15, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:49 a.m.