Triple

T16816971
Position Surface form Disambiguated ID Type / Status
Subject Michigan State Highway 106 E408776 entity
Predicate routeDesignation P1864 FINISHED
Object M-106
M-106 is a state trunkline highway in Michigan that serves as a regional connector route, primarily linking rural communities to the Jackson area.
E1235492 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-106 | Statement: [Michigan State Highway 106, routeDesignation, M-106]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: M-106
Context triple: [Michigan State Highway 106, routeDesignation, M-106]
  • A. M-10
    M-10 is a major motorway in Russia that serves as a key route connecting Moscow and Saint Petersburg.
  • B. M-10
    M-10 is a major state highway in Michigan, commonly known as the Lodge Freeway, that serves as a key north–south route through the Detroit metropolitan area.
  • C. M-102
    M-102 is a regional road in the Community of Madrid, Spain, that provides access to and from the town of Torrelaguna.
  • D. M-102
    M-102 is a state trunkline highway in Michigan best known as Detroit’s Eight Mile Road, a major east–west thoroughfare that serves as a cultural and socioeconomic dividing line in the region.
  • E. M-13
    M-13 is a state highway in Michigan that runs through the Saginaw Bay region, connecting communities such as Essexville with the broader state road network.
  • 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-106
Triple: [Michigan State Highway 106, routeDesignation, M-106]
Generated description
M-106 is a state trunkline highway in Michigan that serves as a regional connector route, primarily linking rural communities to the Jackson area.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: M-106
Target entity description: M-106 is a state trunkline highway in Michigan that serves as a regional connector route, primarily linking rural communities to the Jackson area.
  • A. M-10
    M-10 is a major motorway in Russia that serves as a key route connecting Moscow and Saint Petersburg.
  • B. M-10
    M-10 is a major state highway in Michigan, commonly known as the Lodge Freeway, that serves as a key north–south route through the Detroit metropolitan area.
  • C. M-102
    M-102 is a state trunkline highway in Michigan best known as Detroit’s Eight Mile Road, a major east–west thoroughfare that serves as a cultural and socioeconomic dividing line in the region.
  • D. M-102
    M-102 is a regional road in the Community of Madrid, Spain, that provides access to and from the town of Torrelaguna.
  • E. M-13
    M-13 is a state highway in Michigan that runs through the Saginaw Bay region, connecting communities such as Essexville with the broader state road network.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b2e30cf48190a61936ba0a49df24 completed April 18, 2026, 4:35 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b297778c81909a2545c359739151 completed May 10, 2026, 4:30 p.m.
NEDg Description generation batch_6a00b4caae5081909017095977093704 completed May 10, 2026, 4:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00b52f58e08190a28506f03fbeda15 completed May 10, 2026, 4:41 p.m.
Created at: April 10, 2026, 5:23 a.m.