Triple

T21562282
Position Surface form Disambiguated ID Type / Status
Subject DSP E532065 entity
Predicate usesAbbreviation P43 FINISHED
Object DSP NE NERFINISHED

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: DSP | Statement: [DSP, usesAbbreviation, DSP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DSP
Context triple: [DSP, usesAbbreviation, DSP]
  • A. DSP
    DSP is a series of U.S. military early-warning satellites designed to detect missile launches and nuclear explosions using infrared sensors.
  • B. DSP
    DSP is the official abbreviation for the Puerto Rico Department of Public Safety, the government agency responsible for coordinating and overseeing public safety services across the territory.
  • C. DSP
    A DSP (Digital Signal Processor) is a specialized microprocessor optimized for high-speed numeric processing of signals such as audio, video, and communications data.
  • D. DSP
    DSP is the commonly used abbreviation for Ireland’s Department of Social Protection, the government body responsible for social welfare and related services.
  • E. Digital Filters
    "Digital Filters" is a foundational work in signal processing that systematically presents the theory, design, and practical implementation of filters for processing discrete-time signals.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69e0c460db088190828c64206a450273 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eed2e5c3348190b67003e7027efa60 completed April 27, 2026, 3:07 a.m.
Created at: April 16, 2026, 6:29 p.m.