Triple
T16023963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAMSI |
E388671
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | RAMSI |
E388671
|
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: RAMSI | Statement: [RAMSI, abbreviation, RAMSI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RAMSI Context triple: [RAMSI, abbreviation, RAMSI]
-
A.
RAMSI
chosen
RAMSI is the Regional Assistance Mission to Solomon Islands, a multinational peacekeeping and state-building operation led by Australia from 2003 to help restore law, order, and governance in the Solomon Islands.
-
B.
RIMS
RIMS (Ranging and Integrity Monitoring Station) is a ground-based monitoring facility used in satellite navigation systems like EGNOS to track GNSS signals and support accuracy and integrity corrections.
-
C.
RMAC
RMAC is the abbreviated name of the Royal Mint Advisory Committee, the expert body that advises on the artistic and design aspects of UK coins, medals, seals, and official decorations.
-
D.
Ramo
Ramo is a shortened, informal given name commonly used as a nickname for people named Ramón.
-
E.
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.
- 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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e183258c708190acf1588c7ccb254c |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf2f7c4c8190b1290ac28aad8cd0 |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:55 a.m.