Triple

T8278173
Position Surface form Disambiguated ID Type / Status
Subject Jola language E193598 entity
Predicate iso639-3Code P208 FINISHED
Object dyo
dyo is the ISO 639-3 code for the Jola language, a Niger-Congo language spoken primarily in Senegal and surrounding regions.
 E723142 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: dyo | Statement: [Jola language, iso639-3Code, dyo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: dyo
Context triple: [Jola language, iso639-3Code, dyo]
  • A. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • B. DY
    DY is a UK postcode area in the West Midlands region, covering towns such as Dudley and surrounding districts.
  • C. DNYO
    DNYO is the ICAO airport code for Yola Airport, a regional airport serving the city of Yola in northeastern Nigeria.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. YOW
    YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
  • 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: dyo
Triple: [Jola language, iso639-3Code, dyo]
Generated description
dyo is the ISO 639-3 code for the Jola language, a Niger-Congo language spoken primarily in Senegal and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: dyo
Target entity description: dyo is the ISO 639-3 code for the Jola language, a Niger-Congo language spoken primarily in Senegal and surrounding regions.
  • A. DY
    DY is a UK postcode area in the West Midlands region, covering towns such as Dudley and surrounding districts.
  • B. DY
    DY is the IATA airline designator used by Norwegian Air Shuttle, a major low-cost carrier based in Norway.
  • C. DNYO
    DNYO is the ICAO airport code for Yola Airport, a regional airport serving the city of Yola in northeastern Nigeria.
  • D. YEO
    YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
  • E. YOW
    YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
  • 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_69ca82e217a48190880695635c44b2ed completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb79ebb6b88190bc777b8bd72fcdbc completed March 31, 2026, 7:38 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd6863c22c8190b888a23bb9005712 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d5441248190a9e32281dc8e8d62 completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e0d1b8c8190b5183cc176432061 completed April 1, 2026, 8:20 p.m.
Created at: March 30, 2026, 5:51 p.m.