Triple

T10877397
Position Surface form Disambiguated ID Type / Status
Subject Vance W. Amory International Airport E256834 entity
Predicate IATAcode P418 FINISHED
Object NEV
NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
 E890273 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: NEV | Statement: [Vance W. Amory International Airport, IATAcode, NEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NEV
Context triple: [Vance W. Amory International Airport, IATAcode, NEV]
  • A. NEVS
    NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
  • B. ENEV
    ENEV is the ICAO airport code for Harstad/Narvik Airport, Evenes in Norway.
  • C. NVE
    NVE is Norway’s national authority responsible for managing the country’s water and energy resources, including hydropower regulation, flood preparedness, and energy system oversight.
  • D. Evvy
    Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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: NEV
Triple: [Vance W. Amory International Airport, IATAcode, NEV]
Generated description
NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NEV
Target entity description: NEV is the IATA airport code for Vance W. Amory International Airport on the Caribbean island of Nevis in Saint Kitts and Nevis.
  • A. NEVS
    NEVS is a Swedish electric vehicle manufacturer that emerged from the acquisition of Saab Automobile’s assets, focusing on sustainable mobility solutions.
  • B. ENEV
    ENEV is the ICAO airport code for Harstad/Narvik Airport, Evenes in Norway.
  • C. NVE
    NVE is Norway’s national authority responsible for managing the country’s water and energy resources, including hydropower regulation, flood preparedness, and energy system oversight.
  • D. Evvy
    Evvy is a given name typically used as a short or affectionate form of longer names such as Evan or Evelyn.
  • E. Niva
    Niva was a prominent Russian literary and illustrated weekly magazine of the late 19th and early 20th centuries, known for publishing fiction, poetry, and cultural commentary.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751ad8cdc819093eafaf12fc23b15 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7dfd5d88190a26f707754411906 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e0026fda3c8190b60174b252d57e12 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e00581fde08190b28b8dde4a21d59e completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.