Triple

T6184316
Position Surface form Disambiguated ID Type / Status
Subject Bunun language E138017 entity
Predicate hasAlternativeName P39 FINISHED
Object Bunung
Bunung is an alternative name for the Bunun language, an Austronesian language spoken by the Bunun indigenous people of Taiwan.
E574275 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: Bunung | Statement: [Bunun language, hasAlternativeName, Bunung]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bunung
Context triple: [Bunun language, hasAlternativeName, Bunung]
  • A. Koto Gadang
    Koto Gadang is a historic village in West Sumatra, Indonesia, known for producing many prominent Minangkabau intellectuals and leaders.
  • B. Sasamungga
    Sasamungga is a coastal village and local community on Choiseul Island in the Solomon Islands.
  • C. Watugaluh
    Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
  • D. Ngamprah
    Ngamprah is an administrative town in West Java, Indonesia, serving as the governmental and economic center of West Bandung Regency.
  • E. Bura
    Bura is a strong, cold, and dry northeasterly wind that blows from the interior toward the Adriatic Sea, particularly affecting coastal regions of Croatia and neighboring areas.
  • 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: Bunung
Triple: [Bunun language, hasAlternativeName, Bunung]
Generated description
Bunung is an alternative name for the Bunun language, an Austronesian language spoken by the Bunun indigenous people of Taiwan.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bunung
Target entity description: Bunung is an alternative name for the Bunun language, an Austronesian language spoken by the Bunun indigenous people of Taiwan.
  • A. Koto Gadang
    Koto Gadang is a historic village in West Sumatra, Indonesia, known for producing many prominent Minangkabau intellectuals and leaders.
  • B. Sasamungga
    Sasamungga is a coastal village and local community on Choiseul Island in the Solomon Islands.
  • C. Watugaluh
    Watugaluh was an important historical city in Java that served as the political and administrative center of the Medang Kingdom.
  • D. Ngamprah
    Ngamprah is an administrative town in West Java, Indonesia, serving as the governmental and economic center of West Bandung Regency.
  • E. Bura
    Bura is a strong, cold, and dry northeasterly wind that blows from the interior toward the Adriatic Sea, particularly affecting coastal regions of Croatia and neighboring areas.
  • 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_69c008a8fd408190b7ec6e42934974a6 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c061020d148190ae2edf2b363f1e24 completed March 22, 2026, 9:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69c141c6b5888190983bff620c7663cc completed March 23, 2026, 1:36 p.m.
NEDg Description generation batch_69c1472997d081909266b0e64fdbfe96 completed March 23, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69c147b5214c819082c20480965842be completed March 23, 2026, 2:01 p.m.
Created at: March 22, 2026, 4:19 p.m.