Triple

T18602294
Position Surface form Disambiguated ID Type / Status
Subject Minnesota State Highway 210 E454646 entity
Predicate connects P390 FINISHED
Object Baxter
Baxter is a small city in central Minnesota known for its location in the Brainerd Lakes Area and its role as a regional commercial and transportation hub.
E1333820 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: Baxter | Statement: [Minnesota State Highway 210, connects, Baxter]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Baxter
Context triple: [Minnesota State Highway 210, connects, Baxter]
  • A. Baxter
    Baxter is a surname and given name of English and Scottish origin, historically associated with the occupation of a baker.
  • B. Baxter
    Baxter is a film editor known for working on the dark fantasy horror movie "Horns."
  • C. Baxter
    Baxter is a small unincorporated community located in Baker County, Florida.
  • D. Baxter
    Baxter is a musical act known for its association with the hardcore band The Killing Tree.
  • E. Baxter
    Baxter is Ron Burgundy’s beloved small dog and loyal sidekick in the comedy film "Anchorman: The Legend of Ron Burgundy."
  • 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: Baxter
Triple: [Minnesota State Highway 210, connects, Baxter]
Generated description
Baxter is a small city in central Minnesota known for its location in the Brainerd Lakes Area and its role as a regional commercial and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Baxter
Target entity description: Baxter is a small city in central Minnesota known for its location in the Brainerd Lakes Area and its role as a regional commercial and transportation hub.
  • A. Baxter chosen
    Baxter is a small city in central Minnesota known for its retail centers, proximity to Brainerd, and access to lakes and outdoor recreation.
  • B. Baxter
    Baxter is a small community or locality associated with the area of Essa, likely within the municipality of Essa in Ontario, Canada.
  • C. Baxter
    Baxter is a small unincorporated community located in Baker County, Florida.
  • D. Baxter
    Baxter is the costumed bearcat mascot associated with athletic teams at Northwest Missouri State University.
  • E. Baxter
    Baxter is a musical act known for its association with the hardcore band The Killing Tree.
  • F. None of above.

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_69d8d38bbe7c8190bdec3138e7d413c9 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e54751d7ec81909efc4867f649002e completed April 19, 2026, 9:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a050d6eb92c8190aa0c1f4eb0deb5cb completed May 13, 2026, 11:46 p.m.
NEDg Description generation batch_6a050e04ebd881909120edb46168fbcb completed May 13, 2026, 11:49 p.m.
NED2 Entity disambiguation (via description) batch_6a050e6112e88190a399cf58ea6c8401 completed May 13, 2026, 11:50 p.m.
Created at: April 10, 2026, 11:45 a.m.