Triple
T3263092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | France Ô |
E68457
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
RFO Sat
RFO Sat was a French television channel that broadcast programming for France’s overseas departments and territories before being rebranded as France Ô.
|
E342980
|
NE FINISHED |
How this triple was built (4 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: RFO Sat | Statement: [France Ô, formerName, RFO Sat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RFO Sat Context triple: [France Ô, formerName, RFO Sat]
-
A.
SRFC
SRFC is the commonly used abbreviation for Sacramento Republic FC, a professional soccer club based in Sacramento, California.
-
B.
RFA
RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
-
C.
South Satellite
South Satellite is an international-focused concourse at Seattle–Tacoma International Airport that primarily serves long-haul and overseas flights.
-
D.
RSF
RSF is the abbreviation for Reporters Without Borders, an international non-profit organization that promotes and defends freedom of information and press worldwide.
-
E.
.rf
.rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: RFO Sat Triple: [France Ô, formerName, RFO Sat]
Generated description
RFO Sat was a French television channel that broadcast programming for France’s overseas departments and territories before being rebranded as France Ô.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RFO Sat Target entity description: RFO Sat was a French television channel that broadcast programming for France’s overseas departments and territories before being rebranded as France Ô.
-
A.
SRFC
SRFC is the commonly used abbreviation for Sacramento Republic FC, a professional soccer club based in Sacramento, California.
-
B.
RFA
RFA is the ship prefix used by vessels of the Royal Fleet Auxiliary, the civilian-manned fleet that supports the United Kingdom’s Royal Navy with logistical and operational services.
-
C.
South Satellite
South Satellite is an international-focused concourse at Seattle–Tacoma International Airport that primarily serves long-haul and overseas flights.
-
D.
RSF
RSF is the abbreviation for Reporters Without Borders, an international non-profit organization that promotes and defends freedom of information and press worldwide.
-
E.
.rf
.rf is the Cyrillic country-code top-level domain representing the Russian Federation on the internet.
- F. None of above. chosen
Provenance (5 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafaa35e48190b894ca41dd65932b |
completed | March 8, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28ee2ec8481908a0c0f4a32c97fe0 |
completed | March 12, 2026, 10:01 a.m. |
| NEDg | Description generation | batch_69b296709f84819094fe9db721a44f83 |
completed | March 12, 2026, 10:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2d6c1c65c81909e661c6beaaec9af |
completed | March 12, 2026, 3:07 p.m. |
Created at: March 8, 2026, 3:09 p.m.