Triple

T5436513
Position Surface form Disambiguated ID Type / Status
Subject Pekat E122019 entity
Predicate hasLocalLanguages P35567 FINISHED
Object Bimanese
Bimanese is an Austronesian language spoken by the Bima people on the eastern part of Sumbawa Island in Indonesia.
 E519503 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: Bimanese | Statement: [Pekat, hasLocalLanguages, Bimanese]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bimanese
Context triple: [Pekat, hasLocalLanguages, Bimanese]
  • A. Bamar
    The Bamar are the largest ethnic group in Myanmar, historically dominant in the country’s politics, culture, and language.
  • B. Andamanese
    Andamanese refers to the indigenous peoples and their distinct language families native to the Andaman Islands in the Bay of Bengal.
  • C. Odia
    Odia is an Indo-Aryan language spoken primarily in the Indian state of Odisha, known for its rich literary tradition and classical language status.
  • D. Bahnaric
    Bahnaric is a branch of the Austroasiatic language family spoken primarily in Vietnam, Laos, and Cambodia by various indigenous ethnic groups.
  • E. Nicobarese
    Nicobarese is an Austroasiatic language (or group of related languages) traditionally spoken by the indigenous Nicobarese people of India’s Nicobar Islands.
  • 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: Bimanese
Triple: [Pekat, hasLocalLanguages, Bimanese]
Generated description
Bimanese is an Austronesian language spoken by the Bima people on the eastern part of Sumbawa Island in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bimanese
Target entity description: Bimanese is an Austronesian language spoken by the Bima people on the eastern part of Sumbawa Island in Indonesia.
  • A. Bamar
    The Bamar are the largest ethnic group in Myanmar, historically dominant in the country’s politics, culture, and language.
  • B. Andamanese
    Andamanese refers to the indigenous peoples and their distinct language families native to the Andaman Islands in the Bay of Bengal.
  • C. Odia
    Odia is an Indo-Aryan language spoken primarily in the Indian state of Odisha, known for its rich literary tradition and classical language status.
  • D. Bahnaric
    Bahnaric is a branch of the Austroasiatic language family spoken primarily in Vietnam, Laos, and Cambodia by various indigenous ethnic groups.
  • E. Nicobarese
    Nicobarese is an Austroasiatic language (or group of related languages) traditionally spoken by the indigenous Nicobarese people of India’s Nicobar Islands.
  • 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_69bd46400768819092925d461c0b8432 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91bb51d48190aab340d8d25e9a9a completed March 20, 2026, 6:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf3acfd0408190877fbe41f1dc45ba completed March 22, 2026, 12:41 a.m.
NEDg Description generation batch_69bf3c4f3e288190bab81e761017f015 completed March 22, 2026, 12:48 a.m.
NED2 Entity disambiguation (via description) batch_69bf3cde5004819096988c61b45958ea completed March 22, 2026, 12:50 a.m.
Created at: March 20, 2026, 2:07 p.m.