Triple

T6510006
Position Surface form Disambiguated ID Type / Status
Subject Konjo language E150102 entity
Predicate hasAlternativeName P39 FINISHED
Object Konjo, Highland
Konjo, Highland is an Austronesian language variety spoken by highland communities in South Sulawesi, Indonesia.
E601384 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: Konjo, Highland | Statement: [Konjo language, hasAlternativeName, Konjo, Highland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Konjo, Highland
Context triple: [Konjo language, hasAlternativeName, Konjo, Highland]
  • A. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • B. Karo Highlands
    Karo Highlands is a volcanic highland region in northern Sumatra, Indonesia, known for its cool climate, fertile soils, and predominantly Karo Batak population.
  • C. Gashua
    Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
  • D. Kutaisi Lowland
    Kutaisi Lowland is a fertile lowland region in western Georgia known for its agricultural significance and location along the middle course of the Rioni River.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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: Konjo, Highland
Triple: [Konjo language, hasAlternativeName, Konjo, Highland]
Generated description
Konjo, Highland is an Austronesian language variety spoken by highland communities in South Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Konjo, Highland
Target entity description: Konjo, Highland is an Austronesian language variety spoken by highland communities in South Sulawesi, Indonesia.
  • A. Karanga
    Karanga is a major dialect of the Shona language spoken primarily in southern Zimbabwe, known for its distinct phonological and lexical features.
  • B. Karo Highlands
    Karo Highlands is a volcanic highland region in northern Sumatra, Indonesia, known for its cool climate, fertile soils, and predominantly Karo Batak population.
  • C. Gashua
    Gashua is a town in northeastern Nigeria that serves as an important commercial and administrative center in Yobe State.
  • D. Kutaisi Lowland
    Kutaisi Lowland is a fertile lowland region in western Georgia known for its agricultural significance and location along the middle course of the Rioni River.
  • E. Negombo
    Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5782fc8190a56b714bbc007490 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd88f66c81909b364a816aeee8bf completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce3a53cc8190a40d696a22ec65f4 completed March 27, 2026, 6:36 p.m.
Created at: March 27, 2026, 1:43 p.m.