Triple

T4675384
Position Surface form Disambiguated ID Type / Status
Subject Mountfield HK E103665 entity
Predicate hasAbbreviation P43 FINISHED
Object MHK
MHK is the commonly used abbreviation for Mountfield HK, a professional ice hockey club based in Hradec Králové, Czech Republic.
 E117035 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: MHK | Statement: [Mountfield HK, hasAbbreviation, MHK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MHK
Context triple: [Mountfield HK, hasAbbreviation, MHK]
  • A. MHK
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • B. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MIH
    MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
  • 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: MHK
Triple: [Mountfield HK, hasAbbreviation, MHK]
Generated description
MHK is the commonly used abbreviation for Mountfield HK, a professional ice hockey club based in Hradec Králové, Czech Republic.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MHK
Target entity description: MHK is the commonly used abbreviation for Mountfield HK, a professional ice hockey club based in Hradec Králové, Czech Republic.
  • A. MHK chosen
    MHK is the post-nominal abbreviation used by elected members of the House of Keys, the lower branch of the Isle of Man's parliament.
  • B. MH
    MH is the official vehicle registration code assigned to the Indian state of Maharashtra.
  • C. MH
    MH is the two-letter ISO 3166-1 alpha-2 country code representing the Republic of the Marshall Islands.
  • D. MH
    MH is the two-letter IATA airline designator used to identify Malaysia Airlines on tickets, timetables, and flight numbers.
  • E. MIH
    MIH is the National Rail station code for Mills Hill railway station in Greater Manchester, England.
  • F. None of above.

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_69bd43dda32c8190938b37744ca270fc completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd63544f68819084311416402696b0 completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be039c4c58819099e93e01badbade5 completed March 21, 2026, 2:34 a.m.
NEDg Description generation batch_69be0761fd8081909a078e5e526cb03c completed March 21, 2026, 2:50 a.m.
NED2 Entity disambiguation (via description) batch_69be07be0d1c8190b9ae7313e8151be9 completed March 21, 2026, 2:51 a.m.
Created at: March 20, 2026, 1:15 p.m.