Triple

T14904135
Position Surface form Disambiguated ID Type / Status
Subject Kuku Yalanji language E360082 entity
Predicate hasDialect P4251 FINISHED
Object Kuku Jalun
Kuku Jalun is a regional dialect of the Kuku Yalanji Aboriginal language traditionally spoken in parts of northeastern Queensland, Australia.
E1126721 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: Kuku Jalun | Statement: [Kuku Yalanji language, hasDialect, Kuku Jalun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kuku Jalun
Context triple: [Kuku Yalanji language, hasDialect, Kuku Jalun]
  • A. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • B. Paju
    Paju is a city in South Korea near the Demilitarized Zone, known for its historical sites, cultural complexes, and role as a border hub with North Korea.
  • C. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • D. Shuniah
    Shuniah is a rural municipality in northwestern Ontario, Canada, located along the northern shore of Lake Superior near Thunder Bay.
  • E. Kulun
    Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
  • 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: Kuku Jalun
Triple: [Kuku Yalanji language, hasDialect, Kuku Jalun]
Generated description
Kuku Jalun is a regional dialect of the Kuku Yalanji Aboriginal language traditionally spoken in parts of northeastern Queensland, Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kuku Jalun
Target entity description: Kuku Jalun is a regional dialect of the Kuku Yalanji Aboriginal language traditionally spoken in parts of northeastern Queensland, Australia.
  • A. Tajuan
    Tajuan is the given first name of former NFL cornerback Ty Law.
  • B. Paju
    Paju is a city in South Korea near the Demilitarized Zone, known for its historical sites, cultural complexes, and role as a border hub with North Korea.
  • C. Gwangalli
    Gwangalli is a coastal neighborhood in Busan, South Korea, best known for its sandy beach, vibrant nightlife, and scenic views of the nearby Gwangan Bridge.
  • D. Shuniah
    Shuniah is a rural municipality in northwestern Ontario, Canada, located along the northern shore of Lake Superior near Thunder Bay.
  • E. Kulun
    Kulun is an alternative name for the Kulon language, a lesser-known Papuan language spoken in parts of Indonesia.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded60b24008190bd272c0d61329400 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe72b4e4f88190af7e859d93dbbd28 completed May 8, 2026, 11:33 p.m.
NEDg Description generation batch_69fe7360c11481908e2e5127b466e31b completed May 8, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_69fe743c37308190a045ef5f0ade8508 completed May 8, 2026, 11:39 p.m.
Created at: April 10, 2026, 2:12 a.m.