Triple

T20209029
Position Surface form Disambiguated ID Type / Status
Subject Bellingen Shire E493437 entity
Predicate hasLocality P7943 FINISHED
Object Kalang 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: Kalang | Statement: [Bellingen Shire, hasLocality, Kalang]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kalang
Context triple: [Bellingen Shire, hasLocality, Kalang]
  • A. Kalang chosen
    Kalang is a small rural locality in New South Wales, Australia, situated within the Bellinger Valley and known for its forested landscapes and proximity to the Kalang River.
  • B. Kalunga
    Kalunga is a central supreme deity in the traditional religion of the Ovambo people of southern Africa, associated with creation, destiny, and the boundary between life and death.
  • C. El Kabong
    El Kabong is the masked, guitar-swinging vigilante alter ego of the cartoon horse sheriff Quick Draw McGraw from classic Hanna-Barbera animations.
  • D. Malingin
    Malingin is a barangay (village-level administrative division) of the municipality of Daanbantayan in Cebu, Philippines.
  • E. Katete
    Katete is a town in eastern Zambia that serves as a key trading and transit hub near the border with Mozambique.
  • 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_69da6269614c8190bb40475d9d477358 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66d94999c8190b67051cb0acea213 completed April 20, 2026, 6:16 p.m.
Created at: April 11, 2026, 11:38 p.m.