Triple
T21456460
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Volksmarine |
E529352
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | VM |
—
|
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: VM | Statement: [Volksmarine, shortName, VM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VM Context triple: [Volksmarine, shortName, VM]
-
A.
VM
VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
-
B.
VM
VM is IBM's family of mainframe virtual machine operating systems designed to run multiple operating environments concurrently on System/370 and successor hardware.
-
C.
VM
chosen
VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
-
D.
VM
VM is the commonly used abbreviation for Finland’s Ministry of Finance, the government body responsible for national economic and fiscal policy.
-
E.
VMM
VMM is the U.S. Marine Corps squadron designation for units operating MV-22B Osprey tiltrotor aircraft in the medium-lift assault support role.
- 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_69e0c458133481908ae8b41a12c4edec |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d6da3c819082a495f5434c5554 |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:08 p.m.