Triple

T5038776
Position Surface form Disambiguated ID Type / Status
Subject Eda Rhinos E113493 entity
Predicate alsoKnownAs P39 FINISHED
Object EDA Rhinos
EDA Rhinos was a professional baseball team based in Kaohsiung, Taiwan, that competed in the Chinese Professional Baseball League (CPBL).
 E487824 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: EDA Rhinos | Statement: [Eda Rhinos, alsoKnownAs, EDA Rhinos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EDA Rhinos
Context triple: [Eda Rhinos, alsoKnownAs, EDA Rhinos]
  • A. CAD
    CAD is the three-letter ISO 4217 currency code for the Canadian dollar, the official currency of Canada.
  • B. REX Architecture
    REX Architecture is a New York–based architecture firm known for its innovative, performance-driven designs and high-profile cultural projects worldwide.
  • C. EGNX
    EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • D. Revit
    Revit is a Building Information Modeling (BIM) software by Autodesk used for designing, documenting, and coordinating architectural, engineering, and construction projects in 3D.
  • E. Autodesk 3ds Max
    Autodesk 3ds Max is a professional 3D modeling, animation, and rendering software widely used in game development, film, and architectural visualization.
  • 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: EDA Rhinos
Triple: [Eda Rhinos, alsoKnownAs, EDA Rhinos]
Generated description
EDA Rhinos was a professional baseball team based in Kaohsiung, Taiwan, that competed in the Chinese Professional Baseball League (CPBL).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EDA Rhinos
Target entity description: EDA Rhinos was a professional baseball team based in Kaohsiung, Taiwan, that competed in the Chinese Professional Baseball League (CPBL).
  • A. CAD
    CAD is the three-letter ISO 4217 currency code for the Canadian dollar, the official currency of Canada.
  • B. REX Architecture
    REX Architecture is a New York–based architecture firm known for its innovative, performance-driven designs and high-profile cultural projects worldwide.
  • C. EGNX
    EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • D. Revit
    Revit is a Building Information Modeling (BIM) software by Autodesk used for designing, documenting, and coordinating architectural, engineering, and construction projects in 3D.
  • E. Autodesk 3ds Max
    Autodesk 3ds Max is a professional 3D modeling, animation, and rendering software widely used in game development, film, and architectural visualization.
  • 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_69bd44384298819089c49e7c330ec7b8 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd73dbf00c819094b67809dafdecc6 completed March 20, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9c7c8ba881908240c7f338ad9784 completed March 21, 2026, 1:26 p.m.
NEDg Description generation batch_69be9d191ea481908ccbba1927fcbb43 completed March 21, 2026, 1:28 p.m.
NED2 Entity disambiguation (via description) batch_69be9db965cc8190a482813f4bd1ad60 completed March 21, 2026, 1:31 p.m.
Created at: March 20, 2026, 1:37 p.m.