Triple

T11370169
Position Surface form Disambiguated ID Type / Status
Subject Yolŋu languages E269319 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Manggalili
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
 E923371 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: Manggalili | Statement: [Yolŋu languages, hasNotableLanguage, Manggalili]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Manggalili
Context triple: [Yolŋu languages, hasNotableLanguage, Manggalili]
  • A. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • B. Mang’ati
    Mang’ati is an alternative name for the Datooga, a Nilotic-speaking pastoralist ethnic group primarily living in northern Tanzania.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Mahlaing
    Mahlaing is a town located in central Myanmar’s Mandalay Region.
  • E. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • 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: Manggalili
Triple: [Yolŋu languages, hasNotableLanguage, Manggalili]
Generated description
Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Manggalili
Target entity description: Manggalili is a Yolŋu Aboriginal Australian language associated with the Manggalili clan of northeast Arnhem Land in the Northern Territory.
  • A. Mungaka
    Mungaka is a Grassfields Bantu language spoken primarily in Cameroon, particularly associated with the Bamunka (Ndop) area.
  • B. Mang’ati
    Mang’ati is an alternative name for the Datooga, a Nilotic-speaking pastoralist ethnic group primarily living in northern Tanzania.
  • C. Marangona
    Marangona is the largest and most famous bell of St Mark's Campanile in Venice, traditionally used to mark the beginning and end of the working day and to signal important civic events.
  • D. Mahlaing
    Mahlaing is a town located in central Myanmar’s Mandalay Region.
  • E. Tangale
    Tangale is a West Chadic language spoken primarily in Gombe State, northeastern Nigeria, by the Tangale people.
  • 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_69d6aacca1048190b39dbbc2174616fa completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea89e1148190b0ca29db9d7e2cbd completed April 9, 2026, 6:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58bdaabd48190ab533c1c7f3b5fd8 completed April 20, 2026, 2:13 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:33 p.m.