Triple

T21365626
Position Surface form Disambiguated ID Type / Status
Subject Molly Craig E526903 entity
Predicate ethnicity P194 FINISHED
Object Martu NE NERFINISHED

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: Martu | Statement: [Molly Craig, ethnicity, Martu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Martu
Context triple: [Molly Craig, ethnicity, Martu]
  • A. Martu chosen
    Martu are an Aboriginal Australian people from the Western Desert region of Western Australia, known for their strong cultural traditions, connection to Country, and history as some of the last Indigenous groups to maintain a largely traditional desert lifestyle into the late 20th century.
  • B. Maro
    Maro is a small coastal village in the municipality of Nerja, in the province of Málaga, Spain, known for its nearby cliffs, beaches, and the famous Nerja Caves.
  • C. Bantumi
    Bantumi is a digital version of the traditional Mancala-style board game that was popularized on early Nokia mobile phones.
  • D. Galibi
    Galibi is a coastal village in northeastern Suriname known for its indigenous communities and important sea turtle nesting beaches.
  • E. Datooga
    Datooga is a Southern Nilotic language spoken primarily by the Datooga people of north-central Tanzania.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51d8a308190b09113b3b3f9bc15 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b06ec4208190b9ed3484afd85852 completed April 22, 2026, 11:26 a.m.
Created at: April 16, 2026, 5:09 p.m.