Triple
T2240113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Republic of the Marshall Islands |
E49374
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RMI |
E49374
|
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: RMI | Statement: [Republic of the Marshall Islands, abbreviation, RMI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMI Context triple: [Republic of the Marshall Islands, abbreviation, RMI]
-
A.
RMI
chosen
RMI is the commonly used abbreviation for the Republic of the Marshall Islands, a Pacific island nation composed of atolls and islands.
-
B.
Java RMI
Java RMI is a Java-based distributed object technology that enables remote method invocation between JVMs, allowing objects in different processes or networked machines to communicate as if they were local.
-
C.
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.
-
D.
RMSC
RMSC is the Rose M. Singer Center, a women’s jail facility located on Rikers Island in New York City.
-
E.
RMC
RMC is the Royal Military College at Duntroon, Australia’s principal officer training academy for the Australian Army.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0bccf688190bd10202a62fdf34e |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.