Triple
T14776881
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Marines Reserve |
E347282
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
RMR
RMR is the abbreviation for the Royal Marines Reserve, the volunteer reserve force that supports the United Kingdom’s regular Royal Marines.
|
E1119201
|
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: RMR | Statement: [Royal Marines Reserve, hasAbbreviation, RMR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMR Context triple: [Royal Marines Reserve, hasAbbreviation, RMR]
-
A.
RMR
The RMR is a Canadian Army Primary Reserve infantry regiment based in Westmount, Quebec, with a distinguished history of service in both World Wars and subsequent conflicts.
-
B.
BMR
BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
-
C.
BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
-
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.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
- 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: RMR Triple: [Royal Marines Reserve, hasAbbreviation, RMR]
Generated description
RMR is the abbreviation for the Royal Marines Reserve, the volunteer reserve force that supports the United Kingdom’s regular Royal Marines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RMR Target entity description: RMR is the abbreviation for the Royal Marines Reserve, the volunteer reserve force that supports the United Kingdom’s regular Royal Marines.
-
A.
RMR
The RMR is a Canadian Army Primary Reserve infantry regiment based in Westmount, Quebec, with a distinguished history of service in both World Wars and subsequent conflicts.
-
B.
BMR
BMR is the station code for Bellmore station on the Long Island Rail Road in New York.
-
C.
BMR
BMR is the National Rail station code for Barlow Moor Road railway station in the United Kingdom.
-
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.
RM
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cff0474819092e8447f2f13cf59 |
completed | May 8, 2026, 4:19 p.m. |
| NEDg | Description generation | batch_69fe1cd4e298819099288c21852f3ae2 |
completed | May 8, 2026, 5:26 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe1d6a3360819081eeb43c2a4f84c3 |
completed | May 8, 2026, 5:29 p.m. |
Created at: April 10, 2026, 1:31 a.m.