Triple
T16763456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMO |
E407404
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | RMO |
E407404
|
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: RMO | Statement: [RMO, shortName, RMO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RMO Context triple: [RMO, shortName, RMO]
-
A.
RMO
chosen
RMO is the commonly used abbreviation for the Rijksmuseum van Oudheden, the Dutch national museum of antiquities in Leiden.
-
B.
JMO
JMO is the IATA airport code for Jomsom Airport, a domestic airport serving the town of Jomsom in Nepal’s Mustang region.
-
C.
RMM
RMM is the RAPIDS Memory Manager, a GPU-accelerated memory management library used within NVIDIA RAPIDS to efficiently allocate and manage device memory for data science and analytics workloads.
-
D.
Jawahar Navodaya Vidyalaya Selection Test
The Jawahar Navodaya Vidyalaya Selection Test is a nationwide entrance examination in India used to identify and admit talented rural students into Jawahar Navodaya Vidyalayas for free residential schooling.
-
E.
IMO
IMO is a specialized United Nations agency responsible for regulating international shipping and promoting maritime safety, security, and environmental protection.
- 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_69d8839174188190909f190097207065 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3abee862c819086d9bf01e623a8ce |
completed | April 18, 2026, 4:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a52ff9d481909675c7e1f81191dc |
completed | May 10, 2026, 3:33 p.m. |
Created at: April 10, 2026, 5:21 a.m.