Triple

T6510112
Position Surface form Disambiguated ID Type / Status
Subject Rampi language E150105 entity
Predicate hasAlternativeName P39 FINISHED
Object Rampi’
Rampi’ is an Austronesian language spoken by the Rampi people in the mountainous regions of South Sulawesi, Indonesia.
 E600737 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: Rampi’ | Statement: [Rampi language, hasAlternativeName, Rampi’]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Rampi’
Context triple: [Rampi language, hasAlternativeName, Rampi’]
  • A. Ramarama
    Ramarama is a branch of the Tupian language family comprising several indigenous languages spoken in parts of Brazil.
  • B. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • C. Rambu Tuka'
    Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
  • D. Ramingining
    Ramingining is a remote Aboriginal community in Australia's Northern Territory, known for its rich Yolngu culture and art.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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: Rampi’
Triple: [Rampi language, hasAlternativeName, Rampi’]
Generated description
Rampi’ is an Austronesian language spoken by the Rampi people in the mountainous regions of South Sulawesi, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Rampi’
Target entity description: Rampi’ is an Austronesian language spoken by the Rampi people in the mountainous regions of South Sulawesi, Indonesia.
  • A. Ramarama
    Ramarama is a branch of the Tupian language family comprising several indigenous languages spoken in parts of Brazil.
  • B. Taroombal
    Taroombal is a clan of the Darumbal Aboriginal people, a First Nations group traditionally associated with the Rockhampton region of central Queensland, Australia.
  • C. Rambu Tuka'
    Rambu Tuka' is a traditional Torajan thanksgiving ceremony that celebrates life, prosperity, and the rice harvest with communal rituals, offerings, and festivities.
  • D. Ramingining
    Ramingining is a remote Aboriginal community in Australia's Northern Territory, known for its rich Yolngu culture and art.
  • E. Yambu
    Yambu is a coastal city in western Saudi Arabia on the Red Sea, known as an important port and industrial center.
  • 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_69c687ef291081909d437f035eef1cda completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f398f10819096342f3646cefcc2 completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb5dd5b88190b0928b44ebc91609 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cc96edd08190b0c0f1b49dd64160 completed March 27, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69c6cd8d15ec8190be5a8c5e3f201139 completed March 27, 2026, 6:33 p.m.
Created at: March 27, 2026, 1:43 p.m.