Triple

T15402765
Position Surface form Disambiguated ID Type / Status
Subject Pioneer River E368364 entity
Predicate hasMouthNear 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: [Pioneer River, hasMouthNear, Mackay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mackay
Context triple: [Pioneer River, hasMouthNear, 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
    Mackay is a Scottish surname of Gaelic origin, borne by various notable figures in sports, politics, and the arts.
  • E. 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.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8ea0ac8190a5c68b1951ad3db1 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a716248819094fd8b205cc2a3f2 completed May 9, 2026, 11:28 a.m.
Created at: April 10, 2026, 3:19 a.m.