Triple
T15221048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Defense Support Program |
E363765
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | DSP |
E363765
|
NE 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: DSP | Statement: [Defense Support Program, abbreviation, DSP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DSP Context triple: [Defense Support Program, abbreviation, DSP]
-
A.
DSP
chosen
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.
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.
-
E.
Applied Signal Processing
Applied Signal Processing is a technical book by Graham C. Goodwin that presents modern theory and practical methods for analyzing and processing signals in engineering applications.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d85a0ce24c81909c4d3b6475548c95 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00788b04881909dad9b346ce3b4a9 |
completed | April 15, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd3397a48190bae8b2a359ee4ae8 |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:12 a.m.