Triple

T9269261
Position Surface form Disambiguated ID Type / Status
Subject Angas E222780 entity
Predicate neighboringLanguages P16383 FINISHED
Object Goemai E222784 NE FINISHED

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: Goemai | Statement: [Angas, neighboringLanguages, Goemai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Goemai
Context triple: [Angas, neighboringLanguages, Goemai]
  • A. Goemai chosen
    Goemai is a West Chadic language spoken primarily in central Nigeria by the Goemai people.
  • B. Gomi
    Gomi is a settlement in central Georgia located within the administrative boundaries of Khashuri Municipality.
  • C. Gooigi
    Gooigi is a green, goo-like doppelgänger of Luigi from the Luigi’s Mansion series, used as a playable helper character to solve puzzles and reach otherwise inaccessible areas.
  • D. Gohana
    Gohana is a town and municipal council in the Indian state of Haryana, known as a local commercial and agricultural hub in the Sonipat region.
  • E. Germoe
    Germoe is a small rural village and civil parish in west Cornwall, England, known for its historic church and scenic countryside near the coast.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ca841ffe208190aa7bcffbef2f8379 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd074ef7408190b213c09491918132 completed April 1, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69d09c2239a08190b954c8c57ced8fd2 completed April 4, 2026, 5:05 a.m.
Created at: March 30, 2026, 7:33 p.m.