Triple
T24569251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telediario |
E607885
|
entity |
| Predicate | isFlagshipProgramOf |
P5271
|
FINISHED |
| Object | TVE news services |
—
|
NE NERFINISHED |
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: TVE news services | Statement: [Telediario, isFlagshipProgramOf, TVE news services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isFlagshipProgramOf Context triple: [Telediario, isFlagshipProgramOf, TVE news services]
-
A.
flagshipProgram
chosen
Indicates that a program is the primary, most prominent, or most important offering associated with an entity.
-
B.
hasFlagshipInstitution
Indicates that one entity serves as the primary or leading institution associated with another entity, such as an organization, system, or network.
-
C.
hasFlagshipCampusOf
Indicates that one location serves as the primary or main campus for a particular institution or organization.
-
D.
hasAcademicProgramsWith
Indicates that two institutions or entities offer or participate in the same or jointly organized academic programs.
-
E.
flagshipUniversity
Indicates that a university holds primary or leading status within a larger system, region, or country, often serving as its main representative or most prominent institution.
- 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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a923635c819097ecac0c82ec5f29 |
completed | April 30, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:28 a.m.