Triple

T4637799
Position Surface form Disambiguated ID Type / Status
Subject Supreme Hockey League E101576 entity
Predicate abbreviation P43 FINISHED
Object VHL
VHL is the commonly used abbreviation for the Supreme Hockey League, a professional ice hockey league that operates primarily in Russia and surrounding countries.
 E458962 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: VHL | Statement: [Supreme Hockey League, abbreviation, VHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: VHL
Context triple: [Supreme Hockey League, abbreviation, VHL]
  • A. BHD
    BHD is the IATA airport code for George Best Belfast City Airport, a major regional airport serving Belfast, Northern Ireland.
  • B. BHD
    BHD is the currency code for the Bahraini dinar, the official monetary unit of Bahrain and one of the highest-valued currencies in the world.
  • C. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • D. Beckwith
    Beckwith is an English-origin surname borne by various notable individuals across fields such as politics, the arts, and academia.
  • E. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • 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: VHL
Triple: [Supreme Hockey League, abbreviation, VHL]
Generated description
VHL is the commonly used abbreviation for the Supreme Hockey League, a professional ice hockey league that operates primarily in Russia and surrounding countries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: VHL
Target entity description: VHL is the commonly used abbreviation for the Supreme Hockey League, a professional ice hockey league that operates primarily in Russia and surrounding countries.
  • A. BHD
    BHD is the IATA airport code for George Best Belfast City Airport, a major regional airport serving Belfast, Northern Ireland.
  • B. BHD
    BHD is the currency code for the Bahraini dinar, the official monetary unit of Bahrain and one of the highest-valued currencies in the world.
  • C. MVD
    The MVD was the Soviet Ministry of Internal Affairs, a powerful state security and police organ that, among other functions, administered the Gulag forced labor camp system.
  • D. Beckwith
    Beckwith is an English-origin surname borne by various notable individuals across fields such as politics, the arts, and academia.
  • E. HVF
    HVF is a data-focused startup and innovation lab created by entrepreneur Max Levchin to explore and build companies around large-scale data problems.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a64214481908a207e8070cc7a45 completed March 20, 2026, 2:32 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfacba5fc8190bc86157ee5719ced completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfed8a8b48190bcb98e2ff1886b65 completed March 21, 2026, 2:13 a.m.
NED2 Entity disambiguation (via description) batch_69bdff9ff3748190af5e5a6d91976abc completed March 21, 2026, 2:17 a.m.
Created at: March 20, 2026, 1:13 p.m.