Triple

T16398215
Position Surface form Disambiguated ID Type / Status
Subject ECD Iserlohn E398238 entity
Predicate shortName P43 FINISHED
Object ECD
ECD is a former professional ice hockey club from Iserlohn, Germany, that competed in the country’s top leagues before its dissolution.
E1209627 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: ECD | Statement: [ECD Iserlohn, shortName, ECD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECD
Context triple: [ECD Iserlohn, shortName, ECD]
  • A. EYCS
    EYCS is a configuration of the Council of the European Union in which ministers responsible for education, youth, culture, and sport meet to adopt policies and legislation in these fields.
  • B. UKG
    UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • C. Under 5’s
    Under 5’s is a sub-label of the British electronic music label Skint Records, likely focused on niche or specialized releases within its catalog.
  • D. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • E. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • 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: ECD
Triple: [ECD Iserlohn, shortName, ECD]
Generated description
ECD is a former professional ice hockey club from Iserlohn, Germany, that competed in the country’s top leagues before its dissolution.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ECD
Target entity description: ECD is a former professional ice hockey club from Iserlohn, Germany, that competed in the country’s top leagues before its dissolution.
  • A. EYCS
    EYCS is a configuration of the Council of the European Union in which ministers responsible for education, youth, culture, and sport meet to adopt policies and legislation in these fields.
  • B. UKG
    UKG is a U.S.-based technology company specializing in human capital management and workforce management solutions.
  • C. Under 5’s
    Under 5’s is a sub-label of the British electronic music label Skint Records, likely focused on niche or specialized releases within its catalog.
  • D. EC
    EC is the two-letter ISO 3166-1 alpha-2 country code assigned to Ecuador.
  • E. EC
    EC is a central London postcode area covering much of the historic City of London and parts of the surrounding financial district.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e327cc5c9c8190ba1a70f9e430cefb completed April 18, 2026, 6:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00357838a88190be88c51f454be6eb completed May 10, 2026, 7:36 a.m.
NEDg Description generation batch_6a0035ea77dc8190bda37dac2710d0e3 completed May 10, 2026, 7:38 a.m.
NED2 Entity disambiguation (via description) batch_6a0036e53f2c81908f04a5e51870040c completed May 10, 2026, 7:42 a.m.
Created at: April 10, 2026, 5:09 a.m.