Triple

T14717118
Position Surface form Disambiguated ID Type / Status
Subject Eggon language E345709 entity
Predicate hasDialect P4251 FINISHED
Object Eggon of Wakama
Eggon of Wakama is a regional dialect of the Eggon language spoken by the Eggon people in and around the Wakama area of central Nigeria.
 E1117293 NE FINISHED

How this triple was built (4 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: Eggon of Wakama | Statement: [Eggon language, hasDialect, Eggon of Wakama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eggon of Wakama
Context triple: [Eggon language, hasDialect, Eggon of Wakama]
  • A. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • B. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • C. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • D. Kamigōri
    Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Eggon of Wakama
Triple: [Eggon language, hasDialect, Eggon of Wakama]
Generated description
Eggon of Wakama is a regional dialect of the Eggon language spoken by the Eggon people in and around the Wakama area of central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eggon of Wakama
Target entity description: Eggon of Wakama is a regional dialect of the Eggon language spoken by the Eggon people in and around the Wakama area of central Nigeria.
  • A. Goro
    Goro is a coastal fishing town and municipality in Italy’s Emilia-Romagna region, known for its clam and mussel production along the Po River delta.
  • B. Goro
    Goro is a four-armed Shokan prince and powerful sub-boss character from the Mortal Kombat fighting game series.
  • C. Goro
    Goro is a town located in the Bale Zone of the Oromia Region in southeastern Ethiopia.
  • D. Kamigōri
    Kamigōri is a town in Hyōgo Prefecture, Japan, known for its rural character and location in the southwestern part of the prefecture.
  • E. Kinsaku
    Kinsaku is the birth name of Matsuo Bashō, the renowned 17th-century Japanese haiku poet and literary figure.
  • F. None of above. chosen

Provenance (5 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb8624bc8190b20441c2f5c4a2fa completed May 8, 2026, 3:04 p.m.
NEDg Description generation batch_69fdfd27c6188190951d50f75a5f5430 completed May 8, 2026, 3:11 p.m.
NED2 Entity disambiguation (via description) batch_69fdfd98ca8881909ed8d505518e9fe9 completed May 8, 2026, 3:13 p.m.
Created at: April 10, 2026, 1:29 a.m.