Triple
T15813141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenne, Lazio |
E383403
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | RM |
E753637
|
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: RM | Statement: [Jenne, Lazio, hasVehicleRegistrationCode, RM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RM Context triple: [Jenne, Lazio, hasVehicleRegistrationCode, RM]
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
RM
chosen
RM is a UK postcode area in east London and parts of Essex, covering districts such as Romford and surrounding suburbs.
-
C.
RM
RM is a South Korean rapper, songwriter, and leader of the globally renowned K-pop group BTS.
-
D.
RB
RB is the abbreviation for CERN’s Research Board, the committee responsible for overseeing and approving the laboratory’s scientific research program.
-
E.
RB
RB is the standard abbreviation for *Revue Biblique*, a scholarly journal specializing in biblical studies and related research.
- 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a069bc8190bf9504dc6c998fa2 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff9993c86c8190b1d106af7537080a |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:49 a.m.