Triple

T14757934
Position Surface form Disambiguated ID Type / Status
Subject Marranunggu people E346779 entity
Predicate hasAlternativeName P39 FINISHED
Object Maranunggo
Maranunggo is an alternative name for the Marranunggu, an Aboriginal Australian people traditionally associated with the Northern Territory.
 E1118497 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: Maranunggo | Statement: [Marranunggu people, hasAlternativeName, Maranunggo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maranunggo
Context triple: [Marranunggu people, hasAlternativeName, Maranunggo]
  • A. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • B. Warakurna
    Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
  • C. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • D. Menglembu
    Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
  • E. Namongan
    Namongan is a character in the Ilocano epic "Biag ni Lam-ang," known as the devoted mother of the hero Lam-ang.
  • 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: Maranunggo
Triple: [Marranunggu people, hasAlternativeName, Maranunggo]
Generated description
Maranunggo is an alternative name for the Marranunggu, an Aboriginal Australian people traditionally associated with the Northern Territory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maranunggo
Target entity description: Maranunggo is an alternative name for the Marranunggu, an Aboriginal Australian people traditionally associated with the Northern Territory.
  • A. Narungga
    Narungga are an Aboriginal Australian people and language group traditionally associated with the Yorke Peninsula in South Australia.
  • B. Warakurna
    Warakurna is a remote Indigenous community in Western Australia, located within the Shire of Ngaanyatjarraku near the border with the Northern Territory.
  • C. Ngaju
    Ngaju is an Austronesian language spoken primarily by the Ngaju Dayak people in Central Kalimantan on the island of Borneo in Indonesia.
  • D. Menglembu
    Menglembu is a town in Perak, Malaysia, best known for its production of roasted groundnuts and its location near the city of Ipoh.
  • E. Namongan
    Namongan is a character in the Ilocano epic "Biag ni Lam-ang," known as the devoted mother of the hero Lam-ang.
  • 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_69d822e8896c819091169882f9b20486 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7f0f5a48190af008352c26574d7 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0ced0e2c8190a13e3b43e4d35560 completed May 8, 2026, 4:18 p.m.
NEDg Description generation batch_69fe15f78180819088c7be010ef27029 completed May 8, 2026, 4:57 p.m.
NED2 Entity disambiguation (via description) batch_69fe165c1f188190963f9b78272f41f7 completed May 8, 2026, 4:59 p.m.
Created at: April 10, 2026, 1:30 a.m.