Triple

T7764905
Position Surface form Disambiguated ID Type / Status
Subject Wawa, Ontario E176118 entity
Predicate isServedBy P1293 FINISHED
Object Wawa Airport E563877 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: Wawa Airport | Statement: [Wawa, Ontario, isServedBy, Wawa Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wawa Airport
Context triple: [Wawa, Ontario, isServedBy, Wawa Airport]
  • A. Wawa Airport chosen
    Wawa Airport is a small regional airport in Wawa, Ontario, Canada, providing air transport services to the local community and surrounding area.
  • B. 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.
  • C. Ulei Airport
    Ulei Airport is a small regional airfield serving the island of Ambrym in Vanuatu, providing local and inter-island air connections.
  • D. Yola Airport
    Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
  • E. 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.
  • 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_69c69962923c8190ac74d28b4f9fe0a0 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c704076ba08190bcde971f7e4448c6 completed March 27, 2026, 10:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8c7de604c81908f503e1553795d38 completed March 29, 2026, 6:34 a.m.
Created at: March 27, 2026, 4:09 p.m.