Triple

T7506903
Position Surface form Disambiguated ID Type / Status
Subject Bucasia Beach E177411 entity
Predicate hasNearbyCity P350 FINISHED
Object Mackay E616077 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: Mackay | Statement: [Bucasia Beach, hasNearbyCity, Mackay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackay
Context triple: [Bucasia Beach, hasNearbyCity, Mackay]
  • A. Mackay
    Mackay is a coastal city in eastern Australia known for its sugar cane industry and proximity to the Great Barrier Reef.
  • B. Mackay
    Mackay is the given name of M. H. Baillie Scott, a prominent British architect and designer associated with the Arts and Crafts movement.
  • C. Mackay
    Mackay was an archaeologist known for his excavations of Indus Valley Civilization sites, including Chanhudaro.
  • D. Mackay, Queensland chosen
    Mackay, Queensland is a coastal city in northeastern Australia renowned for its extensive sugarcane industry and role as a key regional service and industrial hub.
  • E. Townsville
    Townsville is a coastal city in northeastern Australia known as a major regional center, gateway to the Great Barrier Reef, and home to a large military presence and tropical climate.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b76a288190bb3608a5e3bfa212 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8460be99881909cada82cf7563421 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.