Triple

T2708340
Position Surface form Disambiguated ID Type / Status
Subject Gogebic County, Michigan E59796 entity
Predicate hasMajorHighway P385 FINISHED
Object M-64
M-64 is a state trunkline highway in Michigan’s Upper Peninsula that runs through Gogebic County and serves as a key north–south route near the Lake Superior shoreline.
 E292085 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-64 | Statement: [Gogebic County, Michigan, hasMajorHighway, M-64]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: M-64
Context triple: [Gogebic County, Michigan, hasMajorHighway, M-64]
  • A. M-69
    M-69 is a state trunkline highway in Michigan’s Upper Peninsula that runs east–west through rural areas including Delta County.
  • B. M-45
    M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
  • C. M74
    M74 is a major motorway in Scotland that connects Glasgow to the English border, forming part of the primary route between central Scotland and England.
  • D. M60
    M60 is a major orbital motorway encircling the city of Manchester in Greater Manchester, England.
  • E. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • 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-64
Triple: [Gogebic County, Michigan, hasMajorHighway, M-64]
Generated description
M-64 is a state trunkline highway in Michigan’s Upper Peninsula that runs through Gogebic County and serves as a key north–south route near the Lake Superior shoreline.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: M-64
Target entity description: M-64 is a state trunkline highway in Michigan’s Upper Peninsula that runs through Gogebic County and serves as a key north–south route near the Lake Superior shoreline.
  • A. M-69
    M-69 is a state trunkline highway in Michigan’s Upper Peninsula that runs east–west through rural areas including Delta County.
  • B. M-45
    M-45 is a state highway in Michigan that runs east–west through the Grand Rapids area toward the Lake Michigan shoreline.
  • C. M74
    M74 is a major motorway in Scotland that connects Glasgow to the English border, forming part of the primary route between central Scotland and England.
  • D. M60
    M60 is a major orbital motorway encircling the city of Manchester in Greater Manchester, England.
  • E. M-5
    M-5 is a state highway in southeastern Michigan that serves as a key commuter route connecting Novi and surrounding suburbs to the Detroit metropolitan area.
  • 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_69ab4ac92a088190bc74bca14038e3de completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda73de1c81908f5d6b0383e23144 completed March 7, 2026, 7:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69afb683092c8190859e92acadfb820c completed March 10, 2026, 6:13 a.m.
NEDg Description generation batch_69afb734d7b08190aeb95e8a9199fb10 completed March 10, 2026, 6:16 a.m.
NED2 Entity disambiguation (via description) batch_69afb7c2b9d08190bce599c364d809b7 completed March 10, 2026, 6:18 a.m.
Created at: March 6, 2026, 9:55 p.m.