Triple
T3272076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France 3 |
E68669
|
entity |
| Predicate | hasNewsProgram |
P6928
|
FINISHED |
| Object | 19/20 |
—
|
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: 19/20 | Statement: [France 3, hasNewsProgram, 19/20]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNewsProgram Context triple: [France 3, hasNewsProgram, 19/20]
-
A.
hasNewsPortal
Indicates that an entity operates, maintains, or is associated with a dedicated online news portal.
-
B.
hasPublicProgram
Indicates that an entity offers or participates in a program or initiative that is accessible to the general public.
-
C.
hasProgramme
chosen
Indicates that an entity is associated with or offers a particular programme (such as a course of study, plan, or structured set of activities).
-
D.
hasNewsAgency
Indicates that one entity operates, owns, or is associated with a news agency as part of its structure or services.
-
E.
hasNationalProgramming
Indicates that an entity provides or is associated with programming content that is broadcast or distributed at a national level.
- 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_69ad859b54f881909bf530d549caf2fd |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adaff6308881908886a44804a0bb09 |
completed | March 8, 2026, 5:20 p.m. |
| PD | Predicate disambiguation | batch_69ada420167c81909b6e2702db296d9e |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:10 p.m.