Triple
T13857218
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Info (radio) |
E333096
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | France Info (brand) |
E333096
|
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: France Info (brand) | Statement: [France Info (radio), partOf, France Info (brand)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: France Info (brand) Context triple: [France Info (radio), partOf, France Info (brand)]
-
A.
France Info (radio)
chosen
France Info (radio) is a French public all-news radio network that provides continuous national and international news coverage.
-
B.
France Info
France Info is a French public rolling news television channel providing continuous national and international news coverage.
-
C.
Orange France
Orange France is a major French telecommunications operator providing mobile, internet, and other communication services across France.
-
D.
France 3
France 3 is a French public television channel known for its regional programming and news coverage as part of the France Télévisions group.
-
E.
HuffPost France
HuffPost France is the French edition of the online news and opinion website HuffPost, offering digital journalism, blogs, and commentary on national and international current affairs.
- 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_69d81c5ba13c8190839315f54768acfd |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02dc9f488190b7181dcb7e304632 |
completed | April 14, 2026, 9:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c0fb7c3c819081fc6f89aa17d6af |
completed | May 3, 2026, 9:41 p.m. |
Created at: April 9, 2026, 10:14 p.m.