Triple

T22934608
Position Surface form Disambiguated ID Type / Status
Subject Rizal, Cagayan E569546 entity
Predicate hasLocalLanguage P4185 FINISHED
Object Malaweg NE NERFINISHED

How this triple was built (2 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: Malaweg | Statement: [Rizal, Cagayan, hasLocalLanguage, Malaweg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malaweg
Context triple: [Rizal, Cagayan, hasLocalLanguage, Malaweg]
  • A. Malaweg chosen
    Malaweg is a Philippine language of northern Luzon, considered a variety or closely related member of the Ibanag language group.
  • B. Malawi
    Malawi is a landlocked country in southeastern Africa known for Lake Malawi, its predominantly agricultural economy, and membership in regional and international organizations including the Commonwealth.
  • C. Malavi
    Malavi is an Indo-Aryan language spoken primarily in the Malwa region of central India, often considered a dialect of Rajasthani or Hindi.
  • D. Mozambique
    Mozambique is a southeastern African nation on the Indian Ocean known for its Portuguese colonial heritage, rich cultural diversity, and extensive coastline with important ports and marine resources.
  • E. Tanzam
    Tanzam is the commonly used abbreviation for the Tanzam Highway, a major road linking Tanzania and Zambia in East and Southern Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e24590862c8190858f180ad302adab completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18134484c8190b7311606c17d058d completed April 29, 2026, 3:55 a.m.
Created at: April 17, 2026, 3:44 p.m.