Triple

T11773193
Position Surface form Disambiguated ID Type / Status
Subject Kisolongo E279950 entity
Predicate glottologCode P3086 FINISHED
Object kiso1238
kiso1238 is the Glottolog code for Kisolongo, a Bantu language variety documented in linguistic classification databases.
E945841 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: kiso1238 | Statement: [Kisolongo, glottologCode, kiso1238]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: kiso1238
Context triple: [Kisolongo, glottologCode, kiso1238]
  • A. Kiso
    Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
  • B. KIO
    KIO is a core KDE Frameworks library that provides a network-transparent, modular system for file and data access across different protocols and locations.
  • C. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • E. KIS
    KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
  • 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: kiso1238
Triple: [Kisolongo, glottologCode, kiso1238]
Generated description
kiso1238 is the Glottolog code for Kisolongo, a Bantu language variety documented in linguistic classification databases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: kiso1238
Target entity description: kiso1238 is the Glottolog code for Kisolongo, a Bantu language variety documented in linguistic classification databases.
  • A. Kiso
    Kiso is a town in Nagano Prefecture, Japan, known for its scenic Kiso Valley, traditional post towns on the old Nakasendō route, and proximity to Mount Ontake.
  • B. KIO
    KIO is a core KDE Frameworks library that provides a network-transparent, modular system for file and data access across different protocols and locations.
  • C. KOS
    KOS is the vehicle registration code assigned to the town of Oświęcim in southern Poland.
  • D. KOS
    KOS is the three-letter International Olympic Committee country code representing Kosovo in Olympic competitions.
  • E. KIS
    KIS is the IATA airport code for Kisumu International Airport, a key air transport hub serving the city of Kisumu in western Kenya.
  • 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_69d6ab01d2688190ad8ed6bda487eaa5 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a55dfa088190a59b35d0247225e3 completed April 10, 2026, 7:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f0909969e481908d836f912b5af5bf completed April 28, 2026, 10:48 a.m.
NEDg Description generation batch_69f0bd3e585481908223acfd780a72a2 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef31076c8190b33a6a2778d7ffbb completed April 28, 2026, 5:32 p.m.
Created at: April 8, 2026, 9:41 p.m.