Triple

T16371461
Position Surface form Disambiguated ID Type / Status
Subject Österreichischer Eishockeyverband E397573 entity
Predicate shortName P43 FINISHED
Object ÖEHV
ÖEHV is the national governing body responsible for organizing and overseeing ice hockey in Austria, including its national teams and domestic competitions.
 E1208444 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: ÖEHV | Statement: [Österreichischer Eishockeyverband, shortName, ÖEHV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ÖEHV
Context triple: [Österreichischer Eishockeyverband, shortName, ÖEHV]
  • A. EOH
    EOH is the IATA airport code for Olaya Herrera Airport, a domestic airport serving Medellín, Colombia.
  • B. Ehv
    Ehv is the official station code used to identify Eindhoven Centraal railway station in the Netherlands.
  • C. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • D. EHE
    EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • E. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • 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: ÖEHV
Triple: [Österreichischer Eishockeyverband, shortName, ÖEHV]
Generated description
ÖEHV is the national governing body responsible for organizing and overseeing ice hockey in Austria, including its national teams and domestic competitions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ÖEHV
Target entity description: ÖEHV is the national governing body responsible for organizing and overseeing ice hockey in Austria, including its national teams and domestic competitions.
  • A. EOH
    EOH is the IATA airport code for Olaya Herrera Airport, a domestic airport serving Medellín, Colombia.
  • B. Ehv
    Ehv is the official station code used to identify Eindhoven Centraal railway station in the Netherlands.
  • C. EHE
    EHE is a U.S. federal public health initiative aimed at dramatically reducing new HIV infections and ultimately ending the HIV epidemic through targeted prevention, diagnosis, treatment, and response strategies.
  • D. EHE
    EHE is the commonly used abbreviation for the College of Education and Human Ecology, an academic unit focused on teaching, research, and outreach in education and human development fields.
  • E. EBOH
    EBOH is an academic department focused on research and training in epidemiology, biostatistics, and occupational health.
  • 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_69d87f2778dc8190aa95c7572db127e6 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2ff420d04819096ff12e08edf2f8b completed April 18, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002dc44c508190bf87b437d1447db6 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f7203d88190834594b03d29b193 completed May 10, 2026, 7:10 a.m.
NED2 Entity disambiguation (via description) batch_6a002fd7fba8819095bb67c7e7a0fefd completed May 10, 2026, 7:12 a.m.
Created at: April 10, 2026, 5:08 a.m.