Triple

T3338925
Position Surface form Disambiguated ID Type / Status
Subject University of Puget Sound E70210 entity
Predicate athleticsNickname P55 FINISHED
Object Loggers
Loggers is the athletics nickname for the University of Puget Sound’s varsity sports teams, reflecting the region’s historical ties to the logging industry.
 E349038 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: Loggers | Statement: [University of Puget Sound, athleticsNickname, Loggers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loggers
Context triple: [University of Puget Sound, athleticsNickname, Loggers]
  • A. Logierait
    Logierait is a small village in Perth and Kinross, Scotland, known as the birthplace of the philosopher and historian Adam Ferguson.
  • B. Logres
    Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
  • C. Flogger
    Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
  • D. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • E. Lammers
    Lammers is a German surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • 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: Loggers
Triple: [University of Puget Sound, athleticsNickname, Loggers]
Generated description
Loggers is the athletics nickname for the University of Puget Sound’s varsity sports teams, reflecting the region’s historical ties to the logging industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loggers
Target entity description: Loggers is the athletics nickname for the University of Puget Sound’s varsity sports teams, reflecting the region’s historical ties to the logging industry.
  • A. Logierait
    Logierait is a small village in Perth and Kinross, Scotland, known as the birthplace of the philosopher and historian Adam Ferguson.
  • B. Logres
    Logres is the legendary kingdom associated with King Arthur, often depicted as the idealized realm of Camelot and the Knights of the Round Table in Arthurian romance.
  • C. Flogger
    Flogger is the NATO reporting name for the Soviet-era Mikoyan-Gurevich MiG-23 variable-geometry fighter aircraft.
  • D. Loggos
    Loggos is a small, picturesque coastal village on the Greek island of Paxos, known for its harbor, traditional tavernas, and relaxed atmosphere.
  • E. Lammers
    Lammers is a German surname borne by various notable individuals in fields such as politics, sports, and the arts.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1bd6c7c8190b7229de1433d8d20 completed March 8, 2026, 5:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69b31a8ccc408190bae65d2d1a4d77bd completed March 12, 2026, 7:57 p.m.
NEDg Description generation batch_69b31aded5808190afbe4ae3ddb70428 completed March 12, 2026, 7:58 p.m.
NED2 Entity disambiguation (via description) batch_69b31c4665c081908d96878fc257fb76 completed March 12, 2026, 8:04 p.m.
Created at: March 8, 2026, 3:12 p.m.