Triple

T22746830
Position Surface form Disambiguated ID Type / Status
Subject Nome region of Alaska E562575 entity
Predicate hasInfrastructure P2560 FINISHED
Object Nome Airport NE NERFINISHED

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: Nome Airport | Statement: [Nome region of Alaska, hasInfrastructure, Nome Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nome Airport
Context triple: [Nome region of Alaska, hasInfrastructure, Nome Airport]
  • A. Nome Airport chosen
    Nome Airport is a public airport in Nome, Alaska, serving as a key regional hub for passenger and cargo flights in western Alaska.
  • B. Elim Airport
    Elim Airport is a public airport serving the remote community of Elim in western Alaska, primarily supporting regional and bush air service.
  • C. Mitiga International Airport
    Mitiga International Airport is a major airport serving Tripoli, Libya, handling both domestic and international flights.
  • D. Homiel Airport
    Homiel Airport is a regional public airport serving the city of Gomel in southeastern Belarus, handling domestic and limited international flights.
  • E. Frans Sales Lega Airport
    Frans Sales Lega Airport is a regional airport serving the town of Ruteng on the island of Flores in East Nusa Tenggara, Indonesia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245513a5c81908d5cb471b4fc429d completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f179b634b88190906edd92a971f921 completed April 29, 2026, 3:23 a.m.
Created at: April 17, 2026, 3:24 p.m.