Triple

T6098790
Position Surface form Disambiguated ID Type / Status
Subject Bungku language E135942 entity
Predicate hasAlternativeName P39 FINISHED
Object Bungku’
Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
E569502 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: Bungku’ | Statement: [Bungku language, hasAlternativeName, Bungku’]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bungku’
Context triple: [Bungku language, hasAlternativeName, Bungku’]
  • A. Rambu Tuka'
    Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
  • B. Buzan-ha
    Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • E. Pulung Maragul
    Pulung Maragul is a barangay (village-level administrative division) located within Angeles City in Pampanga, Philippines.
  • 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: Bungku’
Triple: [Bungku language, hasAlternativeName, Bungku’]
Generated description
Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Bungku’
Target entity description: Bungku’ is an Austronesian language spoken by the Bungku people of Sulawesi in Indonesia.
  • A. Rambu Tuka'
    Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
  • B. Buzan-ha
    Buzan-ha is a major subsect of Japanese Shingon Buddhism known for its headquarters at Hase-dera Temple and its emphasis on esoteric practices and pilgrimage.
  • C. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • D. Tumpat
    Tumpat is a coastal town and district in northeastern Kelantan, Malaysia, known for its fishing communities and role as a transport hub near the Thai border.
  • E. Pulung Maragul
    Pulung Maragul is a barangay (village-level administrative division) located within Angeles City in Pampanga, Philippines.
  • 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_69c0087cd3c48190b459848c72d84eb1 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c05a9a02888190ac201acd14c3fc31 completed March 22, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c125475548819086b733a80056eba5 completed March 23, 2026, 11:34 a.m.
NEDg Description generation batch_69c128753cd8819096edb3c817bfae10 completed March 23, 2026, 11:48 a.m.
NED2 Entity disambiguation (via description) batch_69c129134ce08190ada54a7b3eda27f4 completed March 23, 2026, 11:50 a.m.
Created at: March 22, 2026, 4:13 p.m.