Triple

T12688426
Position Surface form Disambiguated ID Type / Status
Subject Kaben E303133 entity
Predicate countryISO3166-1Alpha3 P43262 FINISHED
Object MHL E49379 NE FINISHED

How this triple was built (3 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: MHL | Statement: [Kaben, countryISO3166-1Alpha3, MHL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MHL
Context triple: [Kaben, countryISO3166-1Alpha3, MHL]
  • A. MHL
    MHL is the commonly used abbreviation for the International Hockey League, a professional ice hockey organization.
  • B. MHL
    MHL is an abbreviation that can refer to various entities, most commonly the Mobile High-Definition Link technology standard for transmitting audio and video from mobile devices to displays.
  • C. MHL
    MHL is the abbreviation for Musikhochschule Lübeck, a renowned German university-level institution specializing in music education and performance.
  • D. MHL
    The MHL is Russia’s top junior ice hockey league, serving as a key development system for young players aiming to reach professional levels such as the KHL.
  • E. MHL chosen
    MHL is the three-letter ISO 3166-1 alpha-3 country code representing the Republic of the Marshall Islands.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: countryISO3166-1Alpha3
Context triple: [Kaben, countryISO3166-1Alpha3, MHL]
  • A. ISOCode
    Indicates that an entity is associated with a specific standardized code defined by the International Organization for Standardization (ISO).
  • B. ISO3166-1Code
    Indicates the standardized two- or three-letter country or territory code assigned under the ISO 3166-1 international standard.
  • C. hasISO3166-1NumericCode
    Indicates that an entity is associated with a specific ISO 3166-1 numeric country code.
  • D. hasISO3166Alpha3Code chosen
    Indicates that an entity is associated with a specific three-letter country code defined by the ISO 3166-1 alpha-3 standard.
  • E. sharesISO3166CodeWith
    Indicates that two entities are associated with and use the same ISO 3166 country code.
  • F. None of above.

Provenance (4 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d962a32c6481908ddaddae4ea267bf completed April 10, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671aacfa8819088fd113474638238 completed May 2, 2026, 9:50 p.m.
PD Predicate disambiguation batch_69d960be63f081908a5ef5ef17a311bf completed April 10, 2026, 8:42 p.m.
Created at: April 9, 2026, 5:21 p.m.