Triple

T12726854
Position Surface form Disambiguated ID Type / Status
Subject Whyalla E304128 entity
Predicate hasAirport P105 FINISHED
Object Whyalla Airport
Whyalla Airport is a regional airport in South Australia that serves the city of Whyalla with domestic flights and general aviation services.
E1022911 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: Whyalla Airport | Statement: [Whyalla, hasAirport, Whyalla Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Whyalla Airport
Context triple: [Whyalla, hasAirport, Whyalla Airport]
  • A. Kadala Airport
    Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
  • B. Kambalda Airport
    Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
  • C. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • D. Kalemie Airport
    Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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: Whyalla Airport
Triple: [Whyalla, hasAirport, Whyalla Airport]
Generated description
Whyalla Airport is a regional airport in South Australia that serves the city of Whyalla with domestic flights and general aviation services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Whyalla Airport
Target entity description: Whyalla Airport is a regional airport in South Australia that serves the city of Whyalla with domestic flights and general aviation services.
  • A. Kadala Airport
    Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
  • B. Kambalda Airport
    Kambalda Airport is a small regional airfield serving the mining town of Kambalda in Western Australia.
  • C. Muanda Airport
    Muanda Airport is a public airport serving the coastal town of Muanda in the western Democratic Republic of the Congo, providing regional air connectivity for passengers and cargo.
  • D. Kalemie Airport
    Kalemie Airport is a public airport serving the town of Kalemie in the Tanganyika Province of the Democratic Republic of the Congo, providing regional air transport connections.
  • E. Baljek Airport
    Baljek Airport is a small regional airport serving the town of Tura and the surrounding Garo Hills region in the Indian state of Meghalaya.
  • 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_69d7bdf084148190ab9d513dc0735af4 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96415ebe48190ae935bc3a9b00f65 completed April 10, 2026, 8:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6e25d24e481908253e1af630835f1 completed May 3, 2026, 5:51 a.m.
NEDg Description generation batch_69f6e4c5e2888190b0bfcdf2cc25ad5f completed May 3, 2026, 6:01 a.m.
NED2 Entity disambiguation (via description) batch_69f6e5979df881909db42a735b9b1064 completed May 3, 2026, 6:05 a.m.
Created at: April 9, 2026, 5:25 p.m.