Triple

T9466534
Position Surface form Disambiguated ID Type / Status
Subject Krzyzewskiville E228284 entity
Predicate hasNickname P39 FINISHED
Object K-ville
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
 E800841 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: K-ville | Statement: [Krzyzewskiville, hasNickname, K-ville]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: K-ville
Context triple: [Krzyzewskiville, hasNickname, K-ville]
  • A. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • B. Parlor City
    Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
  • C. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • D. Streeterville
    Streeterville is a vibrant neighborhood on Chicago’s Near North Side known for its lakefront attractions, high-rise buildings, and major cultural and tourist destinations.
  • E. South Town
    South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
  • 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: K-ville
Triple: [Krzyzewskiville, hasNickname, K-ville]
Generated description
K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: K-ville
Target entity description: K-ville is the famous tent city outside Duke University's Cameron Indoor Stadium where students camp out for tickets to men's basketball games.
  • A. Coolville
    Coolville is a small village in southeastern Ohio, United States, known for its rural setting near the Hocking and Ohio rivers.
  • B. Parlor City
    Parlor City is a historic nickname for Binghamton, New York, reflecting its past reputation as a refined, prosperous urban center.
  • C. Snowville
    Snowville is a small rural settlement located within the township of Tehkummah in Ontario, Canada.
  • D. Streeterville
    Streeterville is a vibrant neighborhood on Chicago’s Near North Side known for its lakefront attractions, high-rise buildings, and major cultural and tourist destinations.
  • E. South Town
    South Town is a fictional, crime-ridden American metropolis that serves as the primary backdrop for SNK’s Fatal Fury and related fighting game series.
  • 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_69ca846fee388190a6ec273fd644b88b completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7fdc08f08190ad17de08d2c2eca2 completed April 1, 2026, 8:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69d122ba3d948190a3fa947cd3cad63b completed April 4, 2026, 2:39 p.m.
NEDg Description generation batch_69d123bc10b88190bd8f5a543d32c788 completed April 4, 2026, 2:44 p.m.
NED2 Entity disambiguation (via description) batch_69d1243ba18881909c2adf7c0b4b93b8 completed April 4, 2026, 2:46 p.m.
Created at: March 30, 2026, 7:53 p.m.