Triple

T3712941
Position Surface form Disambiguated ID Type / Status
Subject Nhulunbuy E81457 entity
Predicate hasAirport P105 FINISHED
Object Gove Airport
Gove Airport is a regional airport serving the town of Nhulunbuy and the surrounding Gove Peninsula in the Northern Territory of Australia.
E382299 NE FINISHED

How this triple was built (4 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: Gove Airport | Statement: [Nhulunbuy, hasAirport, Gove Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gove Airport
Context triple: [Nhulunbuy, hasAirport, Gove Airport]
  • A. Inyokern Airport
    Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
  • B. Bunbury Airport
    Bunbury Airport is a regional airfield serving the city of Bunbury and the surrounding area in Western Australia.
  • C. Taree Airport
    Taree Airport is a regional airport in Taree, New South Wales, Australia, serving general aviation and limited commercial flights for the surrounding Mid North Coast area.
  • D. Rowriah Airport
    Rowriah Airport is a domestic airport serving the city of Jorhat in the Indian state of Assam.
  • E. Stoolbend Airport
    Stoolbend Airport is a small local airfield serving the fictional town of Stoolbend in Virginia, typically depicted in animated television contexts.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Gove Airport
Triple: [Nhulunbuy, hasAirport, Gove Airport]
Generated description
Gove Airport is a regional airport serving the town of Nhulunbuy and the surrounding Gove Peninsula in the Northern Territory of Australia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gove Airport
Target entity description: Gove Airport is a regional airport serving the town of Nhulunbuy and the surrounding Gove Peninsula in the Northern Territory of Australia.
  • A. Inyokern Airport
    Inyokern Airport is a public airport in Kern County, California, primarily serving the Ridgecrest area and the surrounding high desert communities.
  • B. Bunbury Airport
    Bunbury Airport is a regional airfield serving the city of Bunbury and the surrounding area in Western Australia.
  • C. Taree Airport
    Taree Airport is a regional airport in Taree, New South Wales, Australia, serving general aviation and limited commercial flights for the surrounding Mid North Coast area.
  • D. Rowriah Airport
    Rowriah Airport is a domestic airport serving the city of Jorhat in the Indian state of Assam.
  • E. Stoolbend Airport
    Stoolbend Airport is a small local airfield serving the fictional town of Stoolbend in Virginia, typically depicted in animated television contexts.
  • F. None of above. chosen

Provenance (5 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_69ad8b1a81588190b3f27a5483bb610e completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adc9cbc5648190936f93868086167e completed March 8, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4ce0834288190b16cf49477dc2ed9 completed March 14, 2026, 2:55 a.m.
NEDg Description generation batch_69b4cfb49b748190a49435c46540f0c7 completed March 14, 2026, 3:02 a.m.
NED2 Entity disambiguation (via description) batch_69b4d06e34408190a0dc77b82e4fe308 completed March 14, 2026, 3:05 a.m.
Created at: March 8, 2026, 3:33 p.m.