Triple
T1168724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TeleFutura |
E24860
|
entity |
| Predicate | typicalProgrammingSchedule |
P3309
|
FINISHED |
| Object | daily schedule with prime-time telenovelas |
—
|
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: daily schedule with prime-time telenovelas | Statement: [TeleFutura, typicalProgrammingSchedule, daily schedule with prime-time telenovelas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalProgrammingSchedule Context triple: [TeleFutura, typicalProgrammingSchedule, daily schedule with prime-time telenovelas]
-
A.
typicalSchedule
chosen
Indicates the usual or standard timing and sequence of activities or events associated with an entity.
-
B.
hasProgrammingFocus
Indicates that something is centered on, specialized in, or primarily concerned with programming.
-
C.
showSchedule
Indicates that an entity presents or displays a timetable or planned sequence of events for another entity.
-
D.
programChallenged
Indicates that one entity has formally questioned, disputed, or sought to overturn a program, plan, or initiative associated with another entity.
-
E.
programmingIncludes
Indicates that one programming-related entity contains, incorporates, or makes use of another as a part, feature, or component.
- 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_69a494082a7c819095004f423f294a64 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bccef84481908864e819884af86c |
completed | March 1, 2026, 10:25 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5656948190b0b1d5446ad06005 |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:45 p.m.