Triple
T14611873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RFO Sat |
E342980
|
entity |
| Predicate | operatedBy |
P86
|
FINISHED |
| Object | RFO |
E342980
|
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: RFO | Statement: [RFO Sat, operatedBy, RFO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RFO Context triple: [RFO Sat, operatedBy, RFO]
-
A.
RFS
RFS is the commonly used abbreviation for the Russian Football Union, the governing body of football in Russia.
-
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.
RFO Sat
chosen
RFO Sat was a French television channel that broadcast programming for France’s overseas departments and territories before being rebranded as France Ô.
-
D.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
E.
ROKAF
ROKAF is the air warfare branch of South Korea’s armed forces, responsible for the country’s aerial defense and air operations.
- 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_69d822dec68081908c2553145c4051dc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb450e6588190a94488d8e71888c8 |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda91f437c8190ada4d1c3708faedd |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:25 a.m.