Triple

T16347703
Position Surface form Disambiguated ID Type / Status
Subject Thomson Airways E396976 entity
Predicate IATAcode P418 FINISHED
Object TOM
TOM is the IATA airline designator used to identify Thomson Airways flights in global aviation systems.
 E92972 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: TOM | Statement: [Thomson Airways, IATAcode, TOM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: TOM
Context triple: [Thomson Airways, IATAcode, TOM]
  • A. TOM
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. TOM
    TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
  • C. T.O.M.
    T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • 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: TOM
Triple: [Thomson Airways, IATAcode, TOM]
Generated description
TOM is the IATA airline designator used to identify Thomson Airways flights in global aviation systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: TOM
Target entity description: TOM is the IATA airline designator used to identify Thomson Airways flights in global aviation systems.
  • A. TOM chosen
    TOM is the ICAO airline designator used to identify TUI Airways in international aviation operations.
  • B. TOM
    TOM is the National Rail station code assigned to Tottenham Hale railway station in London, England.
  • C. T.O.M.
    T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Tommy
    Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
  • F. None of above.

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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2da1038d88190b8292cfe71bc4f2a completed April 18, 2026, 1:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db1cd288190a85fa2479369ef4f completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002ea334888190a3ec96a470a39a62 completed May 10, 2026, 7:07 a.m.
NED2 Entity disambiguation (via description) batch_6a002f667480819090ec3c7b3b79816c completed May 10, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:07 a.m.