Triple
T2742945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Public Radio |
E60794
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | NPR Podcasts |
E60794
|
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: NPR Podcasts | Statement: [National Public Radio, hasPart, NPR Podcasts]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NPR Podcasts Context triple: [National Public Radio, hasPart, NPR Podcasts]
-
A.
NPR
NPR is the official currency code for the Nepalese rupee, the national currency of Nepal.
-
B.
National Public Radio
chosen
National Public Radio (NPR) is a nonprofit American media organization that produces and distributes news, talk, and cultural programming to a network of public radio stations across the United States.
-
C.
American Public Media
American Public Media is a major U.S. public radio producer and distributor known for creating and syndicating national programs to public radio stations across the country.
-
D.
Pocket Casts
Pocket Casts is a popular cross-platform podcast app known for its powerful discovery tools, playback controls, and syncing across devices.
-
E.
Cascade Public Media
Cascade Public Media is a nonprofit media organization that operates public television and digital media services in the Seattle, Washington area.
- 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_69ab4b79846081909096725374d65ce9 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdb314410819095d4822f9277e6ff |
completed | March 7, 2026, 8 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afbbcca19881908b2e2eb0478c3e45 |
completed | March 10, 2026, 6:35 a.m. |
Created at: March 6, 2026, 9:56 p.m.