Triple

T21856567
Position Surface form Disambiguated ID Type / Status
Subject Matjaž Kopitar E539642 entity
Predicate memberOfSportsTeam P330 FINISHED
Object EC KAC
EC KAC is a professional ice hockey club from Klagenfurt, Austria, known as one of the country’s most successful and historic teams.
 E1505740 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: EC KAC | Statement: [Matjaž Kopitar, memberOfSportsTeam, EC KAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EC KAC
Context triple: [Matjaž Kopitar, memberOfSportsTeam, EC KAC]
  • A. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • B. KCAK
    KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
  • C. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • D. KACT
    KACT is the ICAO airport code for Waco Regional Airport, a public airport serving Waco, Texas.
  • E. EKCH
    EKCH is the ICAO airport code for Copenhagen Airport, the main international airport serving Copenhagen and eastern Denmark.
  • 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: EC KAC
Triple: [Matjaž Kopitar, memberOfSportsTeam, EC KAC]
Generated description
EC KAC is a professional ice hockey club from Klagenfurt, Austria, known as one of the country’s most successful and historic teams.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EC KAC
Target entity description: EC KAC is a professional ice hockey club from Klagenfurt, Austria, known as one of the country’s most successful and historic teams.
  • A. KAC
    KAC is the acronym for Korea Airports Corporation, the South Korean government-owned company that manages and operates many of the nation’s domestic airports.
  • B. KCAK
    KCAK is the ICAO airport code for Akron–Canton Airport, a commercial airport serving the Akron and Canton regions of Ohio, USA.
  • C. KCA
    KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
  • D. KACT
    KACT is the ICAO airport code for Waco Regional Airport, a public airport serving Waco, Texas.
  • E. EKCH
    EKCH is the ICAO airport code for Copenhagen Airport, the main international airport serving Copenhagen and eastern Denmark.
  • 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_69e0c47829648190bbe2d1d7033768ec completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f0d636dc708190be34bb7ea526cfac completed April 28, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a4bd70bd0819084e4bb4af845484b completed May 17, 2026, 11:14 p.m.
NEDg Description generation batch_6a0a4fa22dd481909a01616d8c99d044 completed May 17, 2026, 11:30 p.m.
NED2 Entity disambiguation (via description) batch_6a0a5059be1881908ee2823b0c990448 completed May 17, 2026, 11:33 p.m.
Created at: April 16, 2026, 6:56 p.m.