Triple

T15878537
Position Surface form Disambiguated ID Type / Status
Subject Gloppen E385011 entity
Predicate hasAirport P105 FINISHED
Object Sandane Airport, Anda E702323 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: Sandane Airport, Anda | Statement: [Gloppen, hasAirport, Sandane Airport, Anda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sandane Airport, Anda
Context triple: [Gloppen, hasAirport, Sandane Airport, Anda]
  • A. Sandane Airport, Anda (regional access) chosen
    Sandane Airport, Anda is a small regional airport in western Norway that provides air transport connections for the Nordfjordeid area and surrounding Nordfjord region.
  • B. Vagar Airport
    Vagar Airport is the main international airport of the Faroe Islands, located on the island of Vágar and serving as the archipelago’s primary gateway for air travel.
  • C. Dumna Airport
    Dumna Airport is a domestic airport serving the city of Jabalpur in the Indian state of Madhya Pradesh.
  • D. Kadala Airport
    Kadala Airport is the main commercial airport serving the city of Chita in eastern Siberia, Russia.
  • E. Yola Airport
    Yola Airport is a regional airport serving the city of Yola in northeastern Nigeria, handling domestic flights and limited international traffic.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155ff96588190b8fca1c3bf4a39a2 completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa9529ac48190993d1af234faea3b completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:51 a.m.