Triple

T636250
Position Surface form Disambiguated ID Type / Status
Subject Wisconsin E16627 entity
Predicate hasMajorCity P316 FINISHED
Object Appleton
Appleton is a mid-sized city in eastern Wisconsin known for its paper industry heritage, proximity to the Fox River, and role as a regional economic and cultural center.
 E90912 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: Appleton | Statement: [Wisconsin, hasMajorCity, Appleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Appleton
Context triple: [Wisconsin, hasMajorCity, Appleton]
  • A. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • B. Yorkville
    Yorkville is an upscale Toronto neighborhood known for its luxury shopping, high-end dining, and cultural attractions.
  • C. Yorkville
    Yorkville is a residential neighborhood on Manhattan’s Upper East Side known for its historic German and Central European roots and its mix of tenements, brownstones, and modern high-rises.
  • D. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • E. Burlington
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • 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: Appleton
Triple: [Wisconsin, hasMajorCity, Appleton]
Generated description
Appleton is a mid-sized city in eastern Wisconsin known for its paper industry heritage, proximity to the Fox River, and role as a regional economic and cultural center.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Appleton
Target entity description: Appleton is a mid-sized city in eastern Wisconsin known for its paper industry heritage, proximity to the Fox River, and role as a regional economic and cultural center.
  • A. Canton
    Canton is the historical Western name for Guangzhou, a major port city in southern China and the capital of Guangdong province.
  • B. Yorkville
    Yorkville is an upscale Toronto neighborhood known for its luxury shopping, high-end dining, and cultural attractions.
  • C. Yorkville
    Yorkville is a residential neighborhood on Manhattan’s Upper East Side known for its historic German and Central European roots and its mix of tenements, brownstones, and modern high-rises.
  • D. Montrose
    Montrose is a coastal town in eastern Scotland known for its historic harbor, sandy beach, and surrounding nature reserves.
  • E. Burlington
    Burlington is a historic city in present-day New Jersey that once served as the colonial capital of the Province of New Jersey.
  • 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_69a4936be1c88190af56540324b57da7 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ee667f08190a0332b8f6c569e1a completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a66662e848819095aca23ceb5eeef2 completed March 3, 2026, 4:41 a.m.
NEDg Description generation batch_69a666ded0288190a43e8a13db4f6914 completed March 3, 2026, 4:43 a.m.
NED2 Entity disambiguation (via description) batch_69a667b8de2c819092f9a4c10abeeb56 completed March 3, 2026, 4:46 a.m.
Created at: March 1, 2026, 7:35 p.m.