Triple
T16425668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marine Medium Tiltrotor Squadron |
E398937
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
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.
|
E1212064
|
NE FINISHED |
How this triple was built (4 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: VMM | Statement: [Marine Medium Tiltrotor Squadron, abbreviation, VMM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VMM Context triple: [Marine Medium Tiltrotor Squadron, abbreviation, VMM]
-
A.
VM
VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
-
B.
VM
VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
-
C.
VM
VM is the commonly used abbreviation for Finland’s Ministry of Finance, the government body responsible for national economic and fiscal policy.
-
D.
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.
-
E.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VMM Triple: [Marine Medium Tiltrotor Squadron, abbreviation, VMM]
Generated description
VMM is the U.S. Marine Corps squadron designation for units operating MV-22B Osprey tiltrotor aircraft in the medium-lift assault support role.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VMM Target entity description: VMM is the U.S. Marine Corps squadron designation for units operating MV-22B Osprey tiltrotor aircraft in the medium-lift assault support role.
-
A.
VM
VM is the station code assigned to V. Mapa station in the Manila Light Rail Transit system.
-
B.
VM
VM is the abbreviation for the Volksmarine, the navy of the former German Democratic Republic (East Germany).
-
C.
VM
VM is the commonly used abbreviation for Finland’s Ministry of Finance, the government body responsible for national economic and fiscal policy.
-
D.
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.
-
E.
VMX
VMX is a vector processing extension to the PowerPC architecture designed to accelerate multimedia, signal processing, and other parallelizable computations.
- F. None of above. chosen
Provenance (5 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_69d87f2b9024819085c20e52de95d583 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e328faa7448190a2606f1b37ea0a3d |
completed | April 18, 2026, 6:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c7273e48190b0668948141cf30b |
completed | May 10, 2026, 8:06 a.m. |
| NEDg | Description generation | batch_6a003ef320e4819094cfa05fc1a40cbd |
completed | May 10, 2026, 8:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00404955f88190a4863f8527a69d6f |
completed | May 10, 2026, 8:22 a.m. |
Created at: April 10, 2026, 5:09 a.m.