Triple

T31932713
Position Surface form Disambiguated ID Type / Status
Subject Karajarri people E815296 entity
Predicate neighboringGroup P5965 FINISHED
Object Mangala people
The Mangala people are an Aboriginal Australian group from the Kimberley region of Western Australia, known for their deep cultural ties to their traditional lands and neighboring Indigenous communities.
 E2074171 NE FINISHED

How this triple was built (2 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: Mangala people | Statement: [Karajarri people, neighboringGroup, Mangala people]
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: Mangala people
Triple: [Karajarri people, neighboringGroup, Mangala people]
Generated description
The Mangala people are an Aboriginal Australian group from the Kimberley region of Western Australia, known for their deep cultural ties to their traditional lands and neighboring Indigenous communities.

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_69f348f3035c81908558e2339955abb3 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69f6b2311c7481909fdfa0067f3b5082 completed May 3, 2026, 2:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a368219d348819087c357116a267c2b completed June 20, 2026, 12:05 p.m.
NEDg Description generation batch_6a36847170b88190806913f62f0eed3c completed June 20, 2026, 12:15 p.m.
NED2 Entity disambiguation (via description) batch_6a3684ef0ab881909ddd9c3a3c635683 completed June 20, 2026, 12:17 p.m.
Created at: May 1, 2026, 12:04 a.m.