Triple

T15269452
Position Surface form Disambiguated ID Type / Status
Subject Jawoyn E364981 entity
Predicate hasNeighboringGroup P5965 FINISHED
Object Ngalkbon
Ngalkbon is an Indigenous Australian group traditionally associated with country neighboring that of the Jawoyn people in the Northern Territory.
 E1147188 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: Ngalkbon | Statement: [Jawoyn, hasNeighboringGroup, Ngalkbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ngalkbon
Context triple: [Jawoyn, hasNeighboringGroup, Ngalkbon]
  • A. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • B. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • C. Ngarluma
    Ngarluma is an Aboriginal Australian group traditionally associated with the coastal and inland areas around Roebourne in the Pilbara region of Western Australia.
  • D. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • E. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo 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: Ngalkbon
Triple: [Jawoyn, hasNeighboringGroup, Ngalkbon]
Generated description
Ngalkbon is an Indigenous Australian group traditionally associated with country neighboring that of the Jawoyn people in the Northern Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ngalkbon
Target entity description: Ngalkbon is an Indigenous Australian group traditionally associated with country neighboring that of the Jawoyn people in the Northern Territory.
  • A. Ngala
    Ngala is a Bantu ethnic group and language community primarily found in the Democratic Republic of the Congo.
  • B. Ngala
    Ngala is a local government area in Borno State, northeastern Nigeria, located near the border with Cameroon and affected by regional security challenges.
  • C. Ngarluma
    Ngarluma is an Aboriginal Australian group traditionally associated with the coastal and inland areas around Roebourne in the Pilbara region of Western Australia.
  • D. Mabalako
    Mabalako is a health zone in North Kivu Province in the eastern Democratic Republic of the Congo, known for being heavily affected by Ebola outbreaks.
  • E. Ngamo
    Ngamo is a West Chadic language spoken primarily in northeastern Nigeria by the Ngamo 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0094eac848190a1740ae1aa6b28e0 completed April 15, 2026, 9:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee602067c81908b1aaaca8871eeb9 completed May 9, 2026, 7:45 a.m.
NEDg Description generation batch_69fee6b1a29481908c5c945ef801468d completed May 9, 2026, 7:48 a.m.
NED2 Entity disambiguation (via description) batch_69fee7b5e3f0819091246455e239996a completed May 9, 2026, 7:52 a.m.
Created at: April 10, 2026, 3:14 a.m.