Triple

T4874732
Position Surface form Disambiguated ID Type / Status
Subject Sumburgh Airport E109172 entity
Predicate IATAcode P418 FINISHED
Object LSI
LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
 E476319 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: LSI | Statement: [Sumburgh Airport, IATAcode, LSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LSI
Context triple: [Sumburgh Airport, IATAcode, LSI]
  • A. LSI Logic
    LSI Logic was a semiconductor company best known for designing and manufacturing custom and standard integrated circuits, particularly ASICs and storage-related chips, for computing and communications markets.
  • B. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • C. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • D. LICT
    LICT is the ICAO airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in Sicily, Italy.
  • E. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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: LSI
Triple: [Sumburgh Airport, IATAcode, LSI]
Generated description
LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LSI
Target entity description: LSI is the three-letter IATA airport code for Sumburgh Airport in the Shetland Islands, Scotland.
  • A. LSI Logic
    LSI Logic was a semiconductor company best known for designing and manufacturing custom and standard integrated circuits, particularly ASICs and storage-related chips, for computing and communications markets.
  • B. DSI
    DSI is the Deutsches SOFIA Institut, a German research institute dedicated to supporting and conducting astronomical observations with the SOFIA airborne observatory.
  • C. Elxsi
    Elxsi was a computer company known for developing high-performance minicomputers and multiprocessor systems in the late 20th century.
  • D. LICT
    LICT is the ICAO airport code for Trapani–Birgi Airport, a civil and military airport serving the Trapani area in Sicily, Italy.
  • E. LSS
    LSS is the station code for LaSalle Street Station, a major commuter rail terminal in downtown Chicago, Illinois.
  • 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_69bd440d96a48190b0c87069adef2af1 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6da1b45881909d45cb1214f5bdde completed March 20, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69be67f90e848190a36eee1e670657e4 completed March 21, 2026, 9:42 a.m.
NEDg Description generation batch_69be6892c02481908dc64c7e84aac3b2 completed March 21, 2026, 9:44 a.m.
NED2 Entity disambiguation (via description) batch_69be695116788190903fbd5e375bd31d completed March 21, 2026, 9:48 a.m.
Created at: March 20, 2026, 1:27 p.m.