Triple

T10774576
Position Surface form Disambiguated ID Type / Status
Subject University of Scranton E254164 entity
Predicate nickname P55 FINISHED
Object Royals
The Royals are the athletic teams representing the University of Scranton in NCAA Division III sports.
E884970 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: Royals | Statement: [University of Scranton, nickname, Royals]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Royals
Context triple: [University of Scranton, nickname, Royals]
  • A. Royals
    Royals is the nickname historically associated with the Rochester Royals, a former professional basketball team that eventually became the Sacramento Kings in the NBA.
  • B. Royals
    Royals is the name of the athletic teams representing Upper Darby High School.
  • C. Royals
    Royals is the common short name for the Reading Royals, a professional minor league ice hockey team based in Reading, Pennsylvania.
  • D. Royals
    The Royals are the athletic teams representing Queens University of Charlotte in collegiate sports.
  • E. The Royals
    The Royals is the nickname of the Royal Canadian Regiment, one of Canada's oldest and most distinguished regular infantry regiments.
  • 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: Royals
Triple: [University of Scranton, nickname, Royals]
Generated description
The Royals are the athletic teams representing the University of Scranton in NCAA Division III sports.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Royals
Target entity description: The Royals are the athletic teams representing the University of Scranton in NCAA Division III sports.
  • A. Royals
    Royals is the nickname historically associated with the Rochester Royals, a former professional basketball team that eventually became the Sacramento Kings in the NBA.
  • B. Royals
    Royals is the name of the athletic teams representing Upper Darby High School.
  • C. Royals
    The Royals are the athletic teams representing Queens University of Charlotte in collegiate sports.
  • D. Royals
    Royals is the common short name for the Reading Royals, a professional minor league ice hockey team based in Reading, Pennsylvania.
  • E. The Royals
    The Royals is the nickname of the Royal Canadian Regiment, one of Canada's oldest and most distinguished regular infantry regiments.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7329be784819083b7ec4d85c20acf completed April 9, 2026, 5:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69de238559b48190abc759e744ab0f8e completed April 14, 2026, 11:22 a.m.
NEDg Description generation batch_69de271fb08c8190a44c547083226fd8 completed April 14, 2026, 11:38 a.m.
NED2 Entity disambiguation (via description) batch_69de2cecc24c8190a240366e0600426a completed April 14, 2026, 12:02 p.m.
Created at: April 8, 2026, 9:16 p.m.