Triple

T11370161
Position Surface form Disambiguated ID Type / Status
Subject Yolŋu languages E269319 entity
Predicate hasNotableLanguage P7390 FINISHED
Object Djinba
Djinba is an Australian Aboriginal language spoken by the Yolŋu people of Arnhem Land in the Northern Territory.
 E921826 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: Djinba | Statement: [Yolŋu languages, hasNotableLanguage, Djinba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Djinba
Context triple: [Yolŋu languages, hasNotableLanguage, Djinba]
  • A. Djugu
    Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
  • B. Jableh
    Jableh is a coastal city in northwestern Syria on the Mediterranean Sea, known for its ancient history and archaeological sites, including a well-preserved Roman theater.
  • C. Soibada
    Soibada is a town in central East Timor known as the birthplace of national independence leader Nicolau dos Reis Lobato.
  • D. Blawan
    Blawan is a British electronic music producer and DJ known for his dark, industrial-leaning techno and influential releases on labels like Hessle Audio and R&S Records.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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: Djinba
Triple: [Yolŋu languages, hasNotableLanguage, Djinba]
Generated description
Djinba is an Australian Aboriginal language spoken by the Yolŋu people of Arnhem Land in the Northern Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Djinba
Target entity description: Djinba is an Australian Aboriginal language spoken by the Yolŋu people of Arnhem Land in the Northern Territory.
  • A. Djugu
    Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
  • B. Jableh
    Jableh is a coastal city in northwestern Syria on the Mediterranean Sea, known for its ancient history and archaeological sites, including a well-preserved Roman theater.
  • C. Soibada
    Soibada is a town in central East Timor known as the birthplace of national independence leader Nicolau dos Reis Lobato.
  • D. Blawan
    Blawan is a British electronic music producer and DJ known for his dark, industrial-leaning techno and influential releases on labels like Hessle Audio and R&S Records.
  • E. Naju
    Naju is a historic city in South Korea known for its pear cultivation and location in the southwestern province of South Jeolla.
  • 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_69e5567b67f88190b0412e30b346d36d completed April 19, 2026, 10:26 p.m.
NEDg Description generation batch_69e562c7de3c8190befb6d7131129a2c completed April 19, 2026, 11:18 p.m.
NED2 Entity disambiguation (via description) batch_69e56a776390819082d47ad00cf1862b completed April 19, 2026, 11:51 p.m.
Created at: April 8, 2026, 9:33 p.m.