Triple
T2992782
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Royal Military College of Canada |
E80994
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RMC |
E72872
|
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: RMC | Statement: [Royal Military College of Canada, abbreviation, RMC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMC Context triple: [Royal Military College of Canada, abbreviation, RMC]
-
A.
RMC
chosen
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
-
B.
RMSC
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
-
C.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
D.
ROKMC
ROKMC is the elite amphibious warfare branch of South Korea’s armed forces, known for rapid deployment and high-intensity combat capabilities.
-
E.
RSM
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e12c5c8190af7cc20e4c48bf45 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.