Triple
T12183973
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PBS Space Time |
E290285
|
entity |
| Predicate | uploadFrequency |
P56156
|
FINISHED |
| Object | regularly released episodes |
—
|
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: regularly released episodes | Statement: [PBS Space Time, uploadFrequency, regularly released episodes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uploadFrequency Context triple: [PBS Space Time, uploadFrequency, regularly released episodes]
-
A.
measurementFrequency
Indicates how often a measurement is taken or recorded over time.
-
B.
rankingUpdateFrequency
Indicates how often the ranking or ordered list associated with an entity is recalculated or refreshed.
-
C.
laterFrequency
Indicates that one event, state, or action occurs with a lower frequency than another in a temporal sequence.
-
D.
broadcastFrequency
Indicates the specific radio or transmission frequency at which a broadcast is sent or received.
-
E.
typicalUpdateFrequency
chosen
Indicates how often an entity is usually updated or refreshed over time.
- 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_69d6ab64de5881908d56eb7a75c6cc69 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91a83012c81908d04bbab5fdcd8c2 |
completed | April 10, 2026, 3:42 p.m. |
| PD | Predicate disambiguation | batch_69d91510a258819090ef8fbdc2d8707b |
completed | April 10, 2026, 3:19 p.m. |
Created at: April 8, 2026, 9:50 p.m.