Triple

T20077766
Position Surface form Disambiguated ID Type / Status
Subject Mungo National Park E499913 entity
Predicate hasDiscovery P3985 FINISHED
Object Mungo Lady (Lake Mungo 1) E614492 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: Mungo Lady (Lake Mungo 1) | Statement: [Mungo National Park, hasDiscovery, Mungo Lady (Lake Mungo 1)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mungo Lady (Lake Mungo 1)
Context triple: [Mungo National Park, hasDiscovery, Mungo Lady (Lake Mungo 1)]
  • A. Mungo Lady chosen
    Mungo Lady is the name given to the ancient cremated human remains discovered at Lake Mungo in Australia, which are among the oldest known evidence of ritual burial in the world.
  • B. Mungo Man
    Mungo Man is the name given to the ancient human remains discovered at Lake Mungo in Australia, which are among the oldest known in the country and crucial to understanding Aboriginal history and early human occupation of the continent.
  • C. Mungo
    Mungo is a given name most notably associated with the Scottish aviator and flying ace John Mungo Grant.
  • D. Mungo
    Mungo is a dialect of the Duala language spoken by communities in Cameroon’s coastal region.
  • E. Naledi
    Naledi is a residential township neighborhood within Soweto, a large urban area southwest of Johannesburg, South Africa.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6643d5238819098b7d4e4e2c8dd67 completed April 20, 2026, 5:37 p.m.
NED1 Entity disambiguation (via context triple) batch_6a081f41487c819089e950e327f0c9a5 completed May 16, 2026, 7:39 a.m.
Created at: April 11, 2026, 3:40 p.m.