Triple
T8721589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 4e régiment d’hélicoptères des forces spéciales |
E207022
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
4e RHFS
4e RHFS is a French Army special operations helicopter regiment that provides air support, transport, and infiltration capabilities for France’s special forces.
|
E752852
|
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: 4e RHFS | Statement: [4e régiment d’hélicoptères des forces spéciales, abbreviation, 4e RHFS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 4e RHFS Context triple: [4e régiment d’hélicoptères des forces spéciales, abbreviation, 4e RHFS]
-
A.
RFS
RFS is the commonly used abbreviation for the Russian Football Union, the governing body of football in Russia.
-
B.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
RHO
RHO is the IATA airport code for Rhodes International Airport Diagoras, the main airport serving the Greek island of Rhodes.
-
E.
H4H
H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
- 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: 4e RHFS Triple: [4e régiment d’hélicoptères des forces spéciales, abbreviation, 4e RHFS]
Generated description
4e RHFS is a French Army special operations helicopter regiment that provides air support, transport, and infiltration capabilities for France’s special forces.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: 4e RHFS Target entity description: 4e RHFS is a French Army special operations helicopter regiment that provides air support, transport, and infiltration capabilities for France’s special forces.
-
A.
RFS
RFS is the commonly used abbreviation for the Russian Football Union, the governing body of football in Russia.
-
B.
R4
R4 is a government office building in Oslo that forms part of Norway’s central Regjeringskvartalet complex.
-
C.
R-4
The R-4 is a World War II–era Sikorsky helicopter recognized as the first mass-produced helicopter and the first to be used operationally by the U.S. military.
-
D.
RHO
RHO is the IATA airport code for Rhodes International Airport Diagoras, the main airport serving the Greek island of Rhodes.
-
E.
H4H
H4H is a U.S. federal mortgage relief initiative designed to help struggling homeowners refinance into more affordable, government-insured loans.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d03f0848190a50c77e5cd028ee7 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf28f599a481908e93bc5b5c41296e |
completed | April 3, 2026, 2:41 a.m. |
| NEDg | Description generation | batch_69cf2bd32cc881909ac8a61befa9929e |
completed | April 3, 2026, 2:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf2c69f83481909423858668d03a8b |
completed | April 3, 2026, 2:56 a.m. |
Created at: March 30, 2026, 6:36 p.m.