Triple

T15693953
Position Surface form Disambiguated ID Type / Status
Subject ALF E380406 entity
Predicate refersTo P37 FINISHED
Object Alta Airport E380405 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: Alta Airport | Statement: [ALF, refersTo, Alta Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alta Airport
Context triple: [ALF, refersTo, Alta Airport]
  • A. Alta Airport chosen
    Alta Airport is a regional airport in Alta, Norway, serving as an important air transport hub for the Finnmark region.
  • B. Hammerfest Airport
    Hammerfest Airport is a regional airport in Hammerfest, Norway, providing scheduled domestic flights that connect the town to other parts of the country.
  • C. Evenes Airport
    Evenes Airport is a regional airport in northern Norway that serves as a key hub for domestic flights and access to the Lofoten and Vesterålen archipelagos.
  • D. Henry E. Rohlsen Airport
    Henry E. Rohlsen Airport is a public airport on the island of St. Croix that serves as one of the main air gateways to the U.S. Virgin Islands.
  • E. Tom Madsen Airport
    Tom Madsen Airport is a small public airport serving the remote community of Unalaska in Alaska’s Aleutian Islands, known for challenging weather conditions and its role in regional air transport.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4f5a888190bd3681bcb9bbc02f completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff7571f1888190b83af75ec9c7432b completed May 9, 2026, 5:57 p.m.
Created at: April 10, 2026, 4:44 a.m.