Triple
T21837535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mission Support and Test Services LLC |
E539158
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
MSTS
MSTS is the commonly used abbreviation for Mission Support and Test Services LLC, a contractor that manages and operates U.S. national security test sites.
|
E1503980
|
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: MSTS | Statement: [Mission Support and Test Services LLC, abbreviation, MSTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MSTS Context triple: [Mission Support and Test Services LLC, abbreviation, MSTS]
-
A.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
B.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
C.
MTS
MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
-
D.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
E.
M-TRAX
M-TRAX is a music producer known for contributing to the sound of Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
- 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: MSTS Triple: [Mission Support and Test Services LLC, abbreviation, MSTS]
Generated description
MSTS is the commonly used abbreviation for Mission Support and Test Services LLC, a contractor that manages and operates U.S. national security test sites.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MSTS Target entity description: MSTS is the commonly used abbreviation for Mission Support and Test Services LLC, a contractor that manages and operates U.S. national security test sites.
-
A.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
B.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
C.
MTS
MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
-
D.
MARC Train
MARC Train is a commuter rail service operating in Maryland and the surrounding region, connecting cities such as Washington, D.C., Baltimore, and Martinsburg.
-
E.
M-TRAX
M-TRAX is a music producer known for contributing to the sound of Lil Uzi Vert’s breakout mixtape "Lil Uzi Vert vs. the World."
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0a7a890208190a902184e60194e1c |
completed | April 28, 2026, 12:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45ef0edc819081b1dcd1225bd6d7 |
completed | May 17, 2026, 10:49 p.m. |
| NEDg | Description generation | batch_6a0a470429148190ad08fd983d6288cc |
completed | May 17, 2026, 10:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a47cca1c0819081d48d680f32f424 |
completed | May 17, 2026, 10:57 p.m. |
Created at: April 16, 2026, 6:55 p.m.