Triple

T1972481
Position Surface form Disambiguated ID Type / Status
Subject California State University, Dominguez Hills E42830 entity
Predicate mascot P52 FINISHED
Object Toro
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
 E223860 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: Toro | Statement: [California State University, Dominguez Hills, mascot, Toro]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Toro
Context triple: [California State University, Dominguez Hills, mascot, Toro]
  • A. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • B. Alvarez
    Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
  • C. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • D. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • E. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • 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: Toro
Triple: [California State University, Dominguez Hills, mascot, Toro]
Generated description
Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Toro
Target entity description: Toro is the bull mascot representing California State University, Dominguez Hills at its athletic events and campus activities.
  • A. Toro
    Toro is the official bull-themed mascot of the NFL's Houston Texans, known for entertaining fans at games and team events.
  • B. Alvarez
    Alvarez is a common Spanish surname borne by numerous notable figures across fields such as science, sports, and the arts.
  • C. Tuyo
    "Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
  • D. Tama
    Tama is a region in western Tokyo, Japan, encompassing several suburban cities and towns that serve as residential and commercial areas for the greater Tokyo metropolis.
  • E. Tama
    Tama was a Japanese light cruiser of the Imperial Japanese Navy that served in World War II before being sunk during the Battle off Cape Engaño in 1944.
  • 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_69a8871289048190b00b0d7744b7b2b1 completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abb3f275408190affa93f8cb6a8184 completed March 7, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae032368508190a67fae314d0e6b21 completed March 8, 2026, 11:15 p.m.
NEDg Description generation batch_69ae057cc1a08190895031fa6c095f49 completed March 8, 2026, 11:25 p.m.
NED2 Entity disambiguation (via description) batch_69ae0751eff4819086e5469a2c56a24d completed March 8, 2026, 11:33 p.m.
Created at: March 4, 2026, 7:36 p.m.