Triple
T23357408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camrose, Alberta, Canada |
E593086
|
entity |
| Predicate | timeZone |
P109
|
FINISHED |
| Object |
MST
MST (Mountain Standard Time) is a North American time zone that is 7 hours behind Coordinated Universal Time (UTC−7) and is used in parts of western Canada and the United States.
|
E1582207
|
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: MST | Statement: [Camrose, Alberta, Canada, timeZone, MST]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MST Context triple: [Camrose, Alberta, Canada, timeZone, MST]
-
A.
MST
MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
-
B.
MST
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
-
C.
MST
MST is the station code for Morisset railway station, a regional train stop on the Main Northern line in New South Wales, Australia.
-
D.
MST
MST is the station code for Misterios station, a stop on the Mexico City Metro system.
-
E.
MST
MST is a long-distance hiking trail that spans North Carolina from the Great Smoky Mountains to the Atlantic Ocean.
- 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: MST Triple: [Camrose, Alberta, Canada, timeZone, MST]
Generated description
MST (Mountain Standard Time) is a North American time zone that is 7 hours behind Coordinated Universal Time (UTC−7) and is used in parts of western Canada and the United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MST Target entity description: MST (Mountain Standard Time) is a North American time zone that is 7 hours behind Coordinated Universal Time (UTC−7) and is used in parts of western Canada and the United States.
-
A.
MST
MST is the three-letter IATA airport code for Maastricht Aachen Airport, a regional airport serving the Maastricht (Netherlands) and Aachen (Germany) area.
-
B.
MST
MST is a DisplayPort feature that allows multiple independent video and audio streams to be transmitted over a single physical DisplayPort connection, enabling daisy-chaining and multi-monitor setups.
-
C.
MST
MST is the station code for Morisset railway station, a regional train stop on the Main Northern line in New South Wales, Australia.
-
D.
MST
MST is the station code for Misterios station, a stop on the Mexico City Metro system.
-
E.
MST
MST is a long-distance hiking trail that spans North Carolina from the Great Smoky Mountains to the Atlantic Ocean.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a18996c81909c7ad15cde616553 |
completed | April 29, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5dd1c02c8190bf474938083d8ae3 |
completed | May 19, 2026, 12:55 p.m. |
| NEDg | Description generation | batch_6a0c5e7eb7b481908b3cece1823cf785 |
completed | May 19, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5eef81e48190b62da26fb8d65223 |
completed | May 19, 2026, 1 p.m. |
Created at: April 17, 2026, 5:28 p.m.