Triple

T13416057
Position Surface form Disambiguated ID Type / Status
Subject Kavieng E313217 entity
Predicate hasTransport P1298 FINISHED
Object Kavieng Airport E312321 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: Kavieng Airport | Statement: [Kavieng, hasTransport, Kavieng Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kavieng Airport
Context triple: [Kavieng, hasTransport, Kavieng Airport]
  • A. Kavieng Airport chosen
    Kavieng Airport is a regional airport serving the town of Kavieng and surrounding areas in New Ireland Province, Papua New Guinea.
  • B. Rabaul Airport
    Rabaul Airport is the main air gateway serving the town of Kokopo and the surrounding East New Britain region in Papua New Guinea.
  • C. Lorengau Airport
    Lorengau Airport is a small regional airfield serving the town of Lorengau on Manus Island in Papua New Guinea.
  • D. Angaur Airstrip
    Angaur Airstrip is a small public airfield serving the island of Angaur in the island nation of Palau, providing basic air transport access to this remote community.
  • E. Jaluit Airport
    Jaluit Airport is a small public airstrip serving the remote Jaluit Atoll in the Marshall Islands, providing vital air connectivity for its residents and visitors.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb6e904819098cc9153fd2feaf5 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308095548190afb659b84f2775f2 completed May 3, 2026, 11:24 a.m.
Created at: April 9, 2026, 9:39 p.m.