Triple

T3686531
Position Surface form Disambiguated ID Type / Status
Subject Hillston E78237 entity
Predicate hasFacility P105 FINISHED
Object Hillston Airport E418065 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: Hillston Airport | Statement: [Hillston, hasFacility, Hillston Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hillston Airport
Context triple: [Hillston, hasFacility, Hillston Airport]
  • A. Hillston Airport chosen
    Hillston Airport is a small regional airport in Hillston, New South Wales, Australia, primarily serving general aviation and limited commercial or charter flights.
  • B. Parkes Airport
    Parkes Airport is a regional airport in New South Wales, Australia, serving the town of Parkes with domestic flights and general aviation services.
  • C. Tullamarine Airport
    Tullamarine Airport is the primary international and domestic airport serving Melbourne, Australia, and one of the country’s busiest aviation hubs.
  • D. Albury Airport
    Albury Airport is a regional airport in New South Wales, Australia, serving the city of Albury and surrounding areas with domestic flights.
  • E. Townsville Airport
    Townsville Airport is a regional Australian airport in Queensland that serves the city of Townsville with both civilian and military aviation operations.
  • 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4c676748190b074abfb9ba43b49 completed March 8, 2026, 6:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b589b716648190aeaead138203cbf9 completed March 14, 2026, 4:15 p.m.
Created at: March 8, 2026, 3:26 p.m.