Triple

T10922588
Position Surface form Disambiguated ID Type / Status
Subject Mijikenda E257983 entity
Predicate hasPart P35 FINISHED
Object Digo
Digo are a coastal Bantu ethnic group of the Mijikenda people, primarily living along the southern Kenyan and northern Tanzanian coast, known for their Swahili-influenced culture and trade history.
E893979 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: Digo | Statement: [Mijikenda, hasPart, Digo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Digo
Context triple: [Mijikenda, hasPart, Digo]
  • A. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • B. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • C. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • D. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • E. Cinco
    Cinco is an American screenwriter, songwriter, and producer best known for co-writing the Despicable Me film series and creating the Apple TV+ musical comedy Schmigadoon!.
  • 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: Digo
Triple: [Mijikenda, hasPart, Digo]
Generated description
Digo are a coastal Bantu ethnic group of the Mijikenda people, primarily living along the southern Kenyan and northern Tanzanian coast, known for their Swahili-influenced culture and trade history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Digo
Target entity description: Digo are a coastal Bantu ethnic group of the Mijikenda people, primarily living along the southern Kenyan and northern Tanzanian coast, known for their Swahili-influenced culture and trade history.
  • A. Diez
    Diez is a small historic town in western Germany’s Rhineland-Palatinate, known for its picturesque setting on the Lahn River and its prominent hilltop castle.
  • B. Tanto
    Tanto was a former town in Hyōgo Prefecture, Japan, that later became part of the expanded city of Toyooka through municipal merger.
  • C. Dias
    Dias is a Portuguese-language surname shared by numerous individuals, including notable figures in arts, sports, and public life.
  • D. Davo
    Davo is a common informal nickname or short form of the given name David, often used in English-speaking countries.
  • E. Cinco
    Cinco is a stand-up comedy special and album by Jim Gaffigan featuring his trademark observational and self-deprecating humor.
  • 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_69d6aa864ed88190818280ab6791d065 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7708d1fb88190bb33b72d4330ce11 completed April 9, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2172894d88190b7b27f78e9fd1521 completed April 17, 2026, 11:19 a.m.
NEDg Description generation batch_69e21d8a2e6881909b33cbe4ab919315 completed April 17, 2026, 11:46 a.m.
NED2 Entity disambiguation (via description) batch_69e21eaa1e9881909f3b276e0ff0c511 completed April 17, 2026, 11:51 a.m.
Created at: April 8, 2026, 9:22 p.m.