Triple
T4163024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Marines Commandos |
E91574
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | RM Poole, Dorset |
E98458
|
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: RM Poole, Dorset | Statement: [Royal Marines Commandos, garrison, RM Poole, Dorset]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RM Poole, Dorset Context triple: [Royal Marines Commandos, garrison, RM Poole, Dorset]
-
A.
RM Poole, Dorset
chosen
RM Poole, Dorset is a Royal Marines military base in Poole, England, best known as the home of the elite 1 Assault Group Royal Marines and various amphibious and landing craft training units.
-
B.
Poole
Poole is a coastal town and seaport in Dorset, England, known for its large natural harbour and maritime activities.
-
C.
Weymouth
Weymouth is a seaside town and popular tourist resort on the south coast of Dorset, England, known for its sandy beach and Georgian seafront.
-
D.
Weymouth
Weymouth is a coastal town in eastern Massachusetts known as one of the state’s oldest settlements and a residential suburb of Boston.
-
E.
Nailsea
Nailsea is a small town in North Somerset, England, historically known for its glassmaking and coal mining industries.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af02a811608190aff8b663498711e8 |
completed | March 9, 2026, 5:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f456bf88190b9b8678476ac3803 |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.