Triple

T19537748
Position Surface form Disambiguated ID Type / Status
Subject Samedan Airport E488810 entity
Predicate IATA code P2569 FINISHED
Object SMV
SMV is the IATA airport code for Samedan Airport, a regional airport serving the St. Moritz area in Switzerland’s Engadin valley.
 E1382271 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: SMV | Statement: [Samedan Airport, IATA code, SMV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SMV
Context triple: [Samedan Airport, IATA code, SMV]
  • A. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • B. SMV
    SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
  • C. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • D. SMF
    SMF is an acronym commonly used for the Service Management Facility, a framework in Solaris operating systems for managing system and application services.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • 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: SMV
Triple: [Samedan Airport, IATA code, SMV]
Generated description
SMV is the IATA airport code for Samedan Airport, a regional airport serving the St. Moritz area in Switzerland’s Engadin valley.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SMV
Target entity description: SMV is the IATA airport code for Samedan Airport, a regional airport serving the St. Moritz area in Switzerland’s Engadin valley.
  • A. SMV
    SMV is the post-nominal letters used by recipients of the Sovereign’s Medal for Volunteers, a Canadian honour recognizing exceptional volunteer achievements.
  • B. SMV
    SMV is a symbolic model checking tool used to formally verify hardware and software systems by exhaustively exploring their state spaces with symbolic representations.
  • C. SMF
    SMF (System Management Facilities) is an IBM z/OS component that collects and records system and workload performance data for monitoring, accounting, and capacity planning.
  • D. SMF
    SMF is an acronym commonly used for the Service Management Facility, a framework in Solaris operating systems for managing system and application services.
  • E. SMF
    SMF is the three-letter IATA airport code for Sacramento International Airport, the primary commercial airport serving California’s capital city.
  • 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_69d8e8db5b6c8190984b61f91981f575 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e6386fd12c81908eb5f1ef63b77156 completed April 20, 2026, 2:30 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074e814c2c81909c9203461b8378b6 completed May 15, 2026, 4:49 p.m.
NEDg Description generation batch_6a074ffa3da48190badea6039822ddd6 completed May 15, 2026, 4:55 p.m.
NED2 Entity disambiguation (via description) batch_6a0750cfe42481909bf83cc488bcbae8 completed May 15, 2026, 4:58 p.m.
Created at: April 10, 2026, 1:41 p.m.