Triple

T9477162
Position Surface form Disambiguated ID Type / Status
Subject Petalburg E228542 entity
Predicate hasLanguageInLocalizedRelease P11498 FINISHED
Object English E211 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: English | Statement: [Petalburg, hasLanguageInLocalizedRelease, English]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: English
Context triple: [Petalburg, hasLanguageInLocalizedRelease, English]
  • A. English chosen
    English is a widely spoken West Germanic language that serves as a global lingua franca in education, business, science, and international communication.
  • B. ENG
    ENG is the three-letter FIFA country code used to represent the England national football team in international competitions and official records.
  • C. EN
    EN is the standard abbreviation used in Portugal for "Estrada Nacional," the national road network.
  • D. Angolalla
    Angolalla is a historic town in central Ethiopia known as the birthplace of Emperor Menelik II.
  • E. World English
    World English is a phonetic notation system developed by Alexander Melville Bell to represent the sounds of spoken English with precision.
  • 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: hasLanguageInLocalizedRelease
Context triple: [Petalburg, hasLanguageInLocalizedRelease, English]
  • A. hasLanguageOn
    Indicates that an entity uses or is associated with a particular language in a specific context, medium, or location.
  • B. languageOfReleases chosen
    Indicates the language in which the releases associated with an entity are produced or published.
  • C. hasLanguageStatus
    Indicates that an entity has a particular status or condition regarding its language use, recognition, or classification.
  • D. hasLanguageInUniverse
    Indicates that a particular language exists or is used within a specified fictional or conceptual universe.
  • E. hasLanguageRepresentation
    Indicates that an entity is expressed, encoded, or represented using a particular natural or formal language.
  • 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_69ca847162c48190b079076c9595513c completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd801386948190890133f622ff360b completed April 1, 2026, 8:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12ceb52088190a03963a762c7d30d completed April 4, 2026, 3:23 p.m.
PD Predicate disambiguation batch_69cca55f01b081908dc0f12eaa45f832 completed April 1, 2026, 4:55 a.m.
Created at: March 30, 2026, 7:54 p.m.