Triple

T13062376
Position Surface form Disambiguated ID Type / Status
Subject Yankton County, South Dakota E329229 entity
Predicate hasTown P847 FINISHED
Object Utica, South Dakota
Utica, South Dakota is a small rural town located in Yankton County in the southeastern part of the state.
 E1099743 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: Utica, South Dakota | Statement: [Yankton County, South Dakota, hasTown, Utica, South Dakota]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Utica, South Dakota
Context triple: [Yankton County, South Dakota, hasTown, Utica, South Dakota]
  • A. Hartford, South Dakota
    Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
  • B. Humboldt, South Dakota
    Humboldt, South Dakota is a small rural town in eastern South Dakota located just west of Sioux Falls.
  • C. Frankfort, South Dakota
    Frankfort, South Dakota is a small rural town located in eastern South Dakota within the agricultural region of the state.
  • D. Northville, South Dakota
    Northville, South Dakota is a small rural town located in northeastern South Dakota within the agricultural region of Spink County.
  • E. Harrisburg, South Dakota
    Harrisburg, South Dakota is a rapidly growing suburban city near Sioux Falls known for its family-friendly community and strong school system.
  • 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: Utica, South Dakota
Triple: [Yankton County, South Dakota, hasTown, Utica, South Dakota]
Generated description
Utica, South Dakota is a small rural town located in Yankton County in the southeastern part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Utica, South Dakota
Target entity description: Utica, South Dakota is a small rural town located in Yankton County in the southeastern part of the state.
  • A. Hartford, South Dakota
    Hartford, South Dakota is a small city in eastern South Dakota that serves as a growing residential community near Sioux Falls.
  • B. Humboldt, South Dakota
    Humboldt, South Dakota is a small rural town in eastern South Dakota located just west of Sioux Falls.
  • C. Frankfort, South Dakota
    Frankfort, South Dakota is a small rural town located in eastern South Dakota within the agricultural region of the state.
  • D. Northville, South Dakota
    Northville, South Dakota is a small rural town located in northeastern South Dakota within the agricultural region of Spink County.
  • E. Harrisburg, South Dakota
    Harrisburg, South Dakota is a rapidly growing suburban city near Sioux Falls known for its family-friendly community and strong school system.
  • 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_69d80771749c81909a6d9197b9504872 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980e7ee548190b4b18bdb1357c359 completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bad771881908280e3d96be068fc completed May 8, 2026, 3:42 a.m.
NEDg Description generation batch_69fd5d6af9ac8190a37f11b0f8a1db0f completed May 8, 2026, 3:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd5df48f7481909764bc4e23c0b04a completed May 8, 2026, 3:52 a.m.
Created at: April 9, 2026, 8:59 p.m.