Triple
T10404987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bell MTS |
E245238
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object |
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.
|
E861828
|
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: MTS | Statement: [Bell MTS, formerName, MTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Context triple: [Bell MTS, formerName, MTS]
-
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.
MPTS
MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
-
D.
MBTS
MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
-
E.
MTC
MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
- 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: MTS Triple: [Bell MTS, formerName, MTS]
Generated description
MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTS Target entity description: MTS was a Canadian telecommunications company that provided phone, internet, and related services, primarily in Manitoba, before being acquired and rebranded as Bell MTS.
-
A.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
-
B.
MTS
MTS is the three-letter National Rail station code for Montrose railway station in Angus, Scotland.
-
C.
MPTS
MPTS is the independent body in the UK responsible for overseeing fitness-to-practise hearings and decisions for doctors registered with the General Medical Council.
-
D.
MBTS
MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
-
E.
MTC
MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
- 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_69d381be340c8190b05998703d42d224 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9e5fb58819081d7d3e1dc625197 |
completed | April 7, 2026, 11:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fbe721b48190a4fd0c1d839c580e |
completed | April 9, 2026, 7:20 p.m. |
| NEDg | Description generation | batch_69d822d597088190bf3dca85e1ddb890 |
completed | April 9, 2026, 10:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d859cc1aac8190ab232bb4e4e4fac1 |
completed | April 10, 2026, 2 a.m. |
Created at: April 6, 2026, 12:08 p.m.