Triple

T17223220
Position Surface form Disambiguated ID Type / Status
Subject Florø E418042 entity
Predicate servedBy P82 FINISHED
Object Florø Airport E1181218 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: Florø Airport | Statement: [Florø, servedBy, Florø Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Florø Airport
Context triple: [Florø, servedBy, Florø Airport]
  • A. Florø Airport chosen
    Florø Airport is a regional airport in western Norway that serves the town of Florø and the surrounding coastal areas with domestic flights and helicopter operations.
  • B. Bardufoss Airport
    Bardufoss Airport is a regional airport in northern Norway that serves the town of Bardufoss and the surrounding Troms area, handling both civilian and military air traffic.
  • C. Ørland Airport
    Ørland Airport is a joint civilian and military airport in Trøndelag county, Norway, serving the Ørland peninsula and surrounding Fosen region.
  • D. Sandefjord Airport Torp
    Sandefjord Airport Torp is a regional international airport in southeastern Norway serving Sandefjord and the greater Vestfold area with domestic and European flights.
  • E. Haugesund Airport Karmøy
    Haugesund Airport Karmøy is a regional airport in western Norway serving the town of Haugesund and surrounding areas with domestic and limited international flights.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddf2c3c8190b6adceaaefd4ccbf completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.