Triple

T16659496
Position Surface form Disambiguated ID Type / Status
Subject Callide Valley E404817 entity
Predicate contains P35 FINISHED
Object Biloela E404818 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: Biloela | Statement: [Callide Valley, contains, Biloela]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biloela
Context triple: [Callide Valley, contains, Biloela]
  • A. Biloela chosen
    Biloela is a rural town in Queensland, Australia, known as an agricultural and administrative centre for the surrounding Central Queensland region.
  • B. Bwiro
    Bwiro is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
  • C. Buhera
    Buhera is a rural town and district center in eastern Zimbabwe known for its agricultural activities and location within Manicaland Province.
  • D. Nabaloi
    Nabaloi is an Austronesian language spoken by the Ibaloi people of the northern Philippines, particularly in the Benguet region of Luzon.
  • E. Maleka
    Maleka is a feminine given name, typically considered a variant spelling of Malika and used in various cultures.
  • 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_69d8838b5fbc81908c6575c132b82e80 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37bfcbb6881909c0419174dd017dc completed April 18, 2026, 12:41 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a50edea48190b65f4e6a9eb3ba24 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:18 a.m.