Triple

T12039700
Position Surface form Disambiguated ID Type / Status
Subject Plateau languages E286627 entity
Predicate exampleLanguage P94296 FINISHED
Object Berom E289554 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: Berom | Statement: [Plateau languages, exampleLanguage, Berom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Berom
Context triple: [Plateau languages, exampleLanguage, Berom]
  • A. Berom chosen
    Berom is a Plateau language spoken predominantly by the Berom people in and around Jos in central Nigeria.
  • B. Byrum
    Byrum is the main town and administrative center of the Danish island municipality of Læsø in the Kattegat.
  • C. Borotiam
    Borotiam is a village located on the atoll of Abaiang in the island nation of Kiribati in the central Pacific Ocean.
  • D. Rommen
    Rommen is a neighborhood in Oslo, Norway, situated within the Søndre Nordstrand borough.
  • E. Borama
    Borama is a city in northwestern Somalia’s Awdal region, known as a cultural and educational center for the Somali people.
  • 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: exampleLanguage
Context triple: [Plateau languages, exampleLanguage, Berom]
  • A. testLanguage
    Indicates that an entity uses or is associated with a particular language for testing or evaluation purposes.
  • B. languageName
    Indicates the specific name assigned to a language in the relationship.
  • C. languageProvision
    Indicates that one entity supplies, supports, or makes available a particular language (or set of languages) for use by another entity.
  • D. possibleLanguage chosen
    Indicates that an entity could plausibly be expressed, interpreted, or communicated in a given language.
  • E. languageDesigned
    Indicates that one entity created or developed the language used or associated with another entity.
  • 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_69d6ab4669e48190b59246358b0383ab completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9100b4ca8819084845ca4c13e34ce completed April 10, 2026, 2:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69f49d9937a08190b2f606a1e55733b5 completed May 1, 2026, 12:33 p.m.
PD Predicate disambiguation batch_69d902bac9e08190aa1a99c835f29542 completed April 10, 2026, 2:01 p.m.
Created at: April 8, 2026, 9:47 p.m.