Triple

T13118712
Position Surface form Disambiguated ID Type / Status
Subject Vadsø Airport E311666 entity
Predicate hasScheduledServiceTo P6787 FINISHED
Object Mehamn Airport
Mehamn Airport is a regional airport in northern Norway serving the village of Mehamn and surrounding communities in Finnmark.
E1026094 NE FINISHED

How this triple was built (4 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: Mehamn Airport | Statement: [Vadsø Airport, hasScheduledServiceTo, Mehamn Airport]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mehamn Airport
Context triple: [Vadsø Airport, hasScheduledServiceTo, Mehamn Airport]
  • A. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • B. Al Aroui Airport
    Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
  • C. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • D. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • E. Al Aqiq Airport
    Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Mehamn Airport
Triple: [Vadsø Airport, hasScheduledServiceTo, Mehamn Airport]
Generated description
Mehamn Airport is a regional airport in northern Norway serving the village of Mehamn and surrounding communities in Finnmark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mehamn Airport
Target entity description: Mehamn Airport is a regional airport in northern Norway serving the village of Mehamn and surrounding communities in Finnmark.
  • A. Jowhar Airport
    Jowhar Airport is a public airfield serving the town of Jowhar in Somalia, providing regional air transport connections.
  • B. Al Aroui Airport
    Al Aroui Airport is the main commercial airport serving the city and region of Nador in northeastern Morocco.
  • C. Gardabya Airport
    Gardabya Airport is a Libyan airport serving the coastal city of Sirte and its surrounding region.
  • D. Rabah Bitat Airport
    Rabah Bitat Airport is the main international airport serving the city of Annaba in northeastern Algeria.
  • E. Al Aqiq Airport
    Al Aqiq Airport is a regional airport in the Al Aqiq area of Saudi Arabia that serves local air travel needs.
  • F. None of above. chosen

Provenance (5 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98182011c8190a504678affbb7787 completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5d205408190883b67739d5efaa7 completed May 3, 2026, 7:14 a.m.
NEDg Description generation batch_69f6f6e10f2481909b405169dd7e5cf9 completed May 3, 2026, 7:18 a.m.
NED2 Entity disambiguation (via description) batch_69f6f73b301881909d792dfebd2e468f completed May 3, 2026, 7:20 a.m.
Created at: April 9, 2026, 9:06 p.m.