Triple
T2242272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M-28 |
E49422
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object |
M-77
M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
|
E247815
|
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: M-77 | Statement: [M-28, hasJunctionWith, M-77]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: M-77 Context triple: [M-28, hasJunctionWith, M-77]
-
A.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
-
B.
MF 77
MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
-
C.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
D.
M-28
M-28 is a major east–west state highway running across Michigan’s Upper Peninsula, connecting numerous communities along the southern shore of Lake Superior.
-
E.
M-22
M-22 is a scenic state highway in Michigan renowned for its picturesque route along the Lake Michigan shoreline and through the Leelanau Peninsula near Traverse City.
- 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: M-77 Triple: [M-28, hasJunctionWith, M-77]
Generated description
M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: M-77 Target entity description: M-77 is a state highway in Michigan, United States, running north–south through the eastern Upper Peninsula.
-
A.
M-72
M-72 is a state highway in northern Michigan that serves as a key east–west route connecting Traverse City with several inland communities and recreational areas.
-
B.
MF 77
MF 77 is a steel-wheeled electric multiple unit train used on several lines of the Paris Métro, introduced in the late 1970s to modernize the network’s rolling stock.
-
C.
M-45
M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
-
D.
M-28
M-28 is a major east–west state highway running across Michigan’s Upper Peninsula, connecting numerous communities along the southern shore of Lake Superior.
-
E.
M-22
M-22 is a scenic state highway in Michigan renowned for its picturesque route along the Lake Michigan shoreline and through the Leelanau Peninsula near Traverse City.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0c017548190a71fb4a0e2a8189f |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0eef98819083bede32490cba7e |
completed | March 9, 2026, 6:39 a.m. |
| NEDg | Description generation | batch_69ae6bbccdb08190a73fd20a110219d9 |
completed | March 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae6c3d07a08190a6221a33fd02f73e |
completed | March 9, 2026, 6:44 a.m. |
Created at: March 4, 2026, 7:47 p.m.