Triple

T14786382
Position Surface form Disambiguated ID Type / Status
Subject Bench language E347535 entity
Predicate hasAlternativeName P39 FINISHED
Object Gimira-Bench E386660 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: Gimira-Bench | Statement: [Bench language, hasAlternativeName, Gimira-Bench]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gimira-Bench
Context triple: [Bench language, hasAlternativeName, Gimira-Bench]
  • A. Gimira chosen
    Gimira is an Omotic language spoken in southwestern Ethiopia, primarily by the Gimira (Bench) people.
  • B. Gimonde
    Gimonde is a rural civil parish in the municipality of Bragança in northeastern Portugal, known for its traditional architecture and natural landscapes.
  • C. Gizo
    Gizo is a small island town in the Solomon Islands known as an administrative and commercial hub in the western part of the country and a popular base for diving and marine tourism.
  • D. Gigmoto
    Gigmoto is a coastal municipality located on the island province of Catanduanes in the Bicol Region of the Philippines.
  • E. Gurune
    Gurune is a Gur language spoken primarily in northern Ghana and neighboring regions, known for its rich oral traditions and tonal phonology.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decaa083e481908336d58d026eec32 completed April 14, 2026, 11:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe24b9e8a08190bc736ac207b77324 completed May 8, 2026, 6 p.m.
Created at: April 10, 2026, 1:31 a.m.