Triple
T19408762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galazzano |
E485532
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | RSM |
—
|
NE NERFINISHED |
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: RSM | Statement: [Galazzano, vehicleRegistrationCode, RSM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RSM Context triple: [Galazzano, vehicleRegistrationCode, RSM]
-
A.
RSM
chosen
RSM is the international vehicle registration code used on license plates for vehicles registered in San Marino.
-
B.
RSM
RSM is the acronym for the NATO-led Resolute Support Mission in Afghanistan, focused on training, advising, and assisting Afghan security forces after the end of NATO’s combat operations.
-
C.
RSM
RSM is the Royal Saskatchewan Museum, a natural history and cultural museum in Regina, Saskatchewan, Canada.
-
D.
RSM
RSM is the abbreviation commonly used for the Royal Schools of Music, a group of prestigious UK conservatoires known for their music education and examination programs.
-
E.
RSM
RSM is the commonly used abbreviation for Renault Samsung Motors, a South Korean automobile manufacturer formerly affiliated with Renault.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e8d5162481909db12435d9535c1a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af331108190b6b25ef8f386826e |
completed | April 20, 2026, 1:32 p.m. |
Created at: April 10, 2026, 1:36 p.m.