Triple

T590158
Position Surface form Disambiguated ID Type / Status
Subject Upper Mississippi Valley E17248 entity
Predicate hasMajorCity P316 FINISHED
Object Winona
Winona is a historic river city in southeastern Minnesota known for its Mississippi River bluffs, cultural festivals, and regional educational institutions.
 E74024 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: Winona | Statement: [Upper Mississippi Valley, hasMajorCity, Winona]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Winona
Context triple: [Upper Mississippi Valley, hasMajorCity, Winona]
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Frances
    Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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: Winona
Triple: [Upper Mississippi Valley, hasMajorCity, Winona]
Generated description
Winona is a historic river city in southeastern Minnesota known for its Mississippi River bluffs, cultural festivals, and regional educational institutions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Winona
Target entity description: Winona is a historic river city in southeastern Minnesota known for its Mississippi River bluffs, cultural festivals, and regional educational institutions.
  • A. Alva
    Alva is the middle name of the famed American inventor Thomas Edison, often used as part of his full name, Thomas Alva Edison.
  • B. Lynn
    Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
  • C. Pauletta
    Pauletta is a feminine given name, typically considered a diminutive or variant of Paula or Pauline.
  • D. Frances
    Frances is a feminine given name of Latin origin, commonly used in English-speaking countries.
  • E. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bb8ff0081909cd53d88930e2693 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51554857481909c684b86b51aa126 completed March 2, 2026, 4:43 a.m.
NEDg Description generation batch_69a5163b240881909672bf4bc2ebe9cf completed March 2, 2026, 4:46 a.m.
NED2 Entity disambiguation (via description) batch_69a516a1e6508190a7ecb801f5080ddd completed March 2, 2026, 4:48 a.m.
Created at: March 1, 2026, 7:33 p.m.