Triple
T14776865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Marines Reserve |
E347282
|
entity |
| Predicate | hasGarrison |
P3479
|
FINISHED |
| Object | RMR City of London |
E1119197
|
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: RMR City of London | Statement: [Royal Marines Reserve, hasGarrison, RMR City of London]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMR City of London Context triple: [Royal Marines Reserve, hasGarrison, RMR City of London]
-
A.
RMR London
chosen
RMR London is a Royal Marines Reserve unit based in London that trains and supports part-time Royal Marines alongside their regular counterparts.
-
B.
City of London
The City of London is the historic and financial core of Greater London, renowned as one of the world’s leading global finance and business centers.
-
C.
Metropolis (London)
Metropolis (London) is the historic core area of Greater London that served as the primary urban and administrative center of the city during the 19th century.
-
D.
Pool of London
The Pool of London is a historic stretch of the River Thames in central London that long served as a key anchorage and trading hub for the city’s port.
-
E.
Londiani
Londiani is a town in Kenya’s Rift Valley region, known as a local commercial and transport hub within Kericho County.
- 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_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_69fe24b626c48190a6aa9eda43539246 |
completed | May 8, 2026, 6 p.m. |
Created at: April 10, 2026, 1:31 a.m.