Triple

T6301231
Position Surface form Disambiguated ID Type / Status
Subject Kayan language E141258 entity
Predicate hasDialect P4251 FINISHED
Object Segai
Segai is a dialect of the Kayan language spoken by an indigenous community of Borneo.
 E583371 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: Segai | Statement: [Kayan language, hasDialect, Segai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Segai
Context triple: [Kayan language, hasDialect, Segai]
  • A. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • B. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • C. Ko Poda
    Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
  • D. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • E. Nguru
    Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
  • 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: Segai
Triple: [Kayan language, hasDialect, Segai]
Generated description
Segai is a dialect of the Kayan language spoken by an indigenous community of Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Segai
Target entity description: Segai is a dialect of the Kayan language spoken by an indigenous community of Borneo.
  • A. Sikaiana
    Sikaiana is a small, remote Polynesian atoll in the Solomon Islands whose people and culture are part of the Polynesian outlier communities in Melanesia.
  • B. Punga
    Punga is a figure from Māori mythology, traditionally regarded as an ancestor of sharks, lizards, and other troublesome sea creatures.
  • C. Ko Poda
    Ko Poda is a small, scenic island in Thailand’s Andaman Sea, known for its white-sand beaches, clear turquoise waters, and limestone cliffs, and is a popular day-trip destination from Krabi.
  • D. Kurawa
    Kurawa are the antagonistic royal cousins of the Pandawa in Javanese and broader Indonesian adaptations of the Mahabharata, often portrayed as embodiments of greed, envy, and tyranny.
  • E. Nguru
    Nguru is a town and local government area in northeastern Nigeria known as a commercial hub and railway terminus in Yobe State.
  • 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_69c008cf0ad4819095def81e2bd42f9f completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c0645bb41481909294b06e2b3e1845 completed March 22, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e42f38bc819086a3e66a83ffc792 completed March 27, 2026, 1:58 a.m.
NEDg Description generation batch_69c5e4e5f5ec81909ddfb500315408bd completed March 27, 2026, 2:01 a.m.
NED2 Entity disambiguation (via description) batch_69c5e55af7c48190ab44b433ba8bd3e8 completed March 27, 2026, 2:03 a.m.
Created at: March 22, 2026, 4:27 p.m.