Triple
T15748554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MTS |
E381786
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | MTS |
unclear NED1
|
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: MTS | Statement: [MTS, shortName, MTS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTS Context triple: [MTS, shortName, 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.
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.
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.
-
E.
MBTS
MBTS is a Southern Baptist seminary in Kansas City, Missouri, focused on training pastors, missionaries, and church leaders for Christian ministry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d86d9e6b44819085d1f6a969ecb74c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0502fd3608190b42e647b9c2b41a1 |
completed | April 16, 2026, 2:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff830b85408190b9ae4d6752524b99 |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.