Triple

T13407446
Position Surface form Disambiguated ID Type / Status
Subject Orange, New South Wales E319996 entity
Predicate airportServes P4363 FINISHED
Object Orange Airport E353825 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: Orange Airport | Statement: [Orange, New South Wales, airportServes, Orange Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Orange Airport
Context triple: [Orange, New South Wales, airportServes, Orange Airport]
  • A. Orange Airport chosen
    Orange Airport is a regional airport in New South Wales, Australia, serving the city of Orange and surrounding areas with domestic flights and general aviation services.
  • B. Supadio International Airport
    Supadio International Airport is the main commercial airport serving Pontianak and the surrounding West Kalimantan region on the island of Borneo in Indonesia.
  • C. Mitiga International Airport
    Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
  • D. La Tontouta International Airport
    La Tontouta International Airport is the main international gateway to New Caledonia, serving the capital Nouméa and the surrounding South Province.
  • E. HEF Airport
    HEF Airport is the regional public airport serving Manassas, Virginia, handling general aviation and some corporate and charter traffic for the Washington, D.C. metropolitan area.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbae4be498819094798473a1bfd853 completed April 12, 2026, 2:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7461d27948190a5ca9136e27fdd62 completed May 3, 2026, 12:57 p.m.
Created at: April 9, 2026, 9:35 p.m.