Triple

T16222894
Position Surface form Disambiguated ID Type / Status
Subject EHC Winterthur E393772 entity
Predicate shortName P43 FINISHED
Object EHCW
EHCW is the abbreviated name of EHC Winterthur, a Swiss ice hockey club based in Winterthur.
 E1200498 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: EHCW | Statement: [EHC Winterthur, shortName, EHCW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EHCW
Context triple: [EHC Winterthur, shortName, EHCW]
  • A. HECW
    HECW is the ICAO airport code assigned to Cairo West Air Base, a military airfield serving the Cairo region in Egypt.
  • B. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • C. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • D. 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.
  • E. 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.
  • 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: EHCW
Triple: [EHC Winterthur, shortName, EHCW]
Generated description
EHCW is the abbreviated name of EHC Winterthur, a Swiss ice hockey club based in Winterthur.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EHCW
Target entity description: EHCW is the abbreviated name of EHC Winterthur, a Swiss ice hockey club based in Winterthur.
  • A. HECW
    HECW is the ICAO airport code assigned to Cairo West Air Base, a military airfield serving the Cairo region in Egypt.
  • B. CEHC
    CEHC is an academic college focused on education and research in emergency preparedness, homeland security, and cybersecurity.
  • C. EAHC
    EAHC is the abbreviation for the East African High Commission, a former regional administrative body that coordinated common services among British East African territories.
  • D. 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.
  • E. 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.
  • 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d23e63881908806920d878f2adb completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079a5c1481909485e1b4a41f5d2c completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0008d53b6081908d66b2c09e8b2565 completed May 10, 2026, 4:25 a.m.
NED2 Entity disambiguation (via description) batch_6a00096cabec81908fec25052e9cf4f8 completed May 10, 2026, 4:28 a.m.
Created at: April 10, 2026, 5:03 a.m.