Triple
T6949279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ministry of Transportation (Ontario) |
E160878
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
MTO
MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
|
E630344
|
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: MTO | Statement: [Ministry of Transportation (Ontario), hasAbbreviation, MTO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MTO Context triple: [Ministry of Transportation (Ontario), hasAbbreviation, MTO]
-
A.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
B.
MYT
MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
-
C.
MTM
MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
-
D.
MTM
MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
-
E.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
- 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: MTO Triple: [Ministry of Transportation (Ontario), hasAbbreviation, MTO]
Generated description
MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MTO Target entity description: MTO is the provincial government ministry responsible for transportation infrastructure, policy, and services in Ontario, Canada.
-
A.
MTO
MTO is an abbreviation for the Mediterranean Theater of Operations, the World War II combat zone encompassing Allied and Axis military campaigns around the Mediterranean Sea.
-
B.
MYT
MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
-
C.
MTM
MTM is the Mercury Transfer Module of the BepiColombo mission, responsible for propelling and guiding the spacecraft on its journey to Mercury.
-
D.
MTM
MTM is the company responsible for operating Melbourne’s metropolitan passenger rail network in Victoria, Australia.
-
E.
MTS
MTS is a public transportation agency that operates bus and rail services in the San Diego metropolitan area of California.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6daad028c8190a6db5b2d029d4dfc |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c75874ffcc81908f31ff03e13cb5b0 |
completed | March 28, 2026, 4:26 a.m. |
| NEDg | Description generation | batch_69c758ee37dc8190810e44d11c744ac7 |
completed | March 28, 2026, 4:28 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c759a99b2c8190986ce5bc36502975 |
completed | March 28, 2026, 4:31 a.m. |
Created at: March 27, 2026, 2:29 p.m.