Triple

T6301230
Position Surface form Disambiguated ID Type / Status
Subject Kayan language E141258 entity
Predicate hasDialect P4251 FINISHED
Object Merap
Merap is a dialect of the Kayan language spoken by an indigenous community in Borneo.
 E583370 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: Merap | Statement: [Kayan language, hasDialect, Merap]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merap
Context triple: [Kayan language, hasDialect, Merap]
  • A. Susanoo
    Susanoo is a major Shinto storm and sea deity known for his turbulent nature and legendary battle with the serpent Yamata no Orochi.
  • B. Izanagi
    Izanagi is a central creator deity in Japanese mythology and Shinto tradition, known for forming the islands of Japan and fathering many kami, including the sun goddess Amaterasu.
  • C. Vulko
    Vulko is a fictional Atlantean statesman and advisor, often depicted as a close ally and counselor to Aquaman in DC Comics.
  • D. Yamaraja
    Yamaraja is the Hindu god of death and justice, who judges the souls of the dead and presides over the afterlife.
  • E. Yama
    Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
  • 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: Merap
Triple: [Kayan language, hasDialect, Merap]
Generated description
Merap is a dialect of the Kayan language spoken by an indigenous community in Borneo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merap
Target entity description: Merap is a dialect of the Kayan language spoken by an indigenous community in Borneo.
  • A. Susanoo
    Susanoo is a major Shinto storm and sea deity known for his turbulent nature and legendary battle with the serpent Yamata no Orochi.
  • B. Izanagi
    Izanagi is a central creator deity in Japanese mythology and Shinto tradition, known for forming the islands of Japan and fathering many kami, including the sun goddess Amaterasu.
  • C. Vulko
    Vulko is a fictional Atlantean statesman and advisor, often depicted as a close ally and counselor to Aquaman in DC Comics.
  • D. Yamaraja
    Yamaraja is the Hindu god of death and justice, who judges the souls of the dead and presides over the afterlife.
  • E. Yama
    Yama is the Hindu god of death and justice, traditionally regarded as the ruler of the afterlife and judge of the souls of the dead.
  • 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.