Triple
T16635410
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KQED |
E404184
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | KQED Education |
E404184
|
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: KQED Education | Statement: [KQED, hasPart, KQED Education]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KQED Education Context triple: [KQED, hasPart, KQED Education]
-
A.
KQED
chosen
KQED is a major public media organization based in the San Francisco Bay Area, operating television, radio, and digital platforms as a member station of PBS and NPR.
-
B.
Annenberg Learner
Annenberg Learner is an educational initiative that develops and distributes multimedia resources and professional development materials to enhance teaching and learning, particularly in K–12 education.
-
C.
Curriki
Curriki is an education-focused nonprofit organization that provides free, open-source digital learning resources and tools for teachers and students worldwide.
-
D.
TED-Ed
TED-Ed is an educational initiative by TED that produces short, animated video lessons designed to spark curiosity and support learning across a wide range of subjects.
-
E.
WGBH Boston
WGBH Boston is a major American public television and radio broadcaster known for producing influential educational and science programs for PBS.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a2b3a608190ad8d2b653cd8785d |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 10, 2026, 5:17 a.m.