Triple

T13857988
Position Surface form Disambiguated ID Type / Status
Subject FNM E333112 entity
Predicate providedExposureTo P54169 FINISHED
Object U.S. mortgage market 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: U.S. mortgage market | Statement: [FNM, providedExposureTo, U.S. mortgage market]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: providedExposureTo
Context triple: [FNM, providedExposureTo, U.S. mortgage market]
  • A. providesExposureTo chosen
    Indicates that one entity gives another entity the opportunity to be seen, noticed, or become known by a particular audience, environment, or set of influences.
  • B. exposesTo
    Indicates that one entity subjects another entity to contact with or influence from something, typically involving risk, effect, or experience.
  • C. exposedDuring
    Indicates that something becomes visible, accessible, or subject to influence specifically within a given time period, event, or contextual interval.
  • D. notableExposure
    Indicates that an entity has received significant public attention, visibility, or coverage, making it notably exposed or recognized.
  • E. exposed
    Indicates that one entity has been made visible, revealed, or left unprotected to another entity or to some external influence.
  • 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_69d81c5ba13c8190839315f54768acfd completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de02dc9f488190b7181dcb7e304632 completed April 14, 2026, 9:03 a.m.
PD Predicate disambiguation batch_69dbc8691b608190a25a7c70a366b170 completed April 12, 2026, 4:29 p.m.
Created at: April 9, 2026, 10:14 p.m.