Triple

T20929602
Position Surface form Disambiguated ID Type / Status
Subject ARTC Kapooka E515434 entity
Predicate locatedIn P40 FINISHED
Object Kapooka 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: Kapooka | Statement: [ARTC Kapooka, locatedIn, Kapooka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kapooka
Context triple: [ARTC Kapooka, locatedIn, Kapooka]
  • A. Kapooka chosen
    Kapooka is a locality near Wagga Wagga in New South Wales, Australia, best known as the site of a major Australian Army recruit training base.
  • B. Nakawa
    Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
  • C. Kopanong
    Kopanong is a municipality in South Africa, known for its rural character and agricultural economy.
  • D. Kanahooka
    Kanahooka is a suburb in the Wollongong region of New South Wales, Australia, situated near Lake Illawarra and known for its residential character and lakeside environment.
  • E. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f6545f8c81908a8c2f0e8d7b060e completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:49 p.m.