Triple

T687727
Position Surface form Disambiguated ID Type / Status
Subject Gatwick Airport E13320 entity
Predicate IATAcode P418 FINISHED
Object LGW
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
E85283 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: LGW | Statement: [Gatwick Airport, IATAcode, LGW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LGW
Context triple: [Gatwick Airport, IATAcode, LGW]
  • A. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • B. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • C. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • D. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • E. G-Wiz
    G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
  • 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: LGW
Triple: [Gatwick Airport, IATAcode, LGW]
Generated description
LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LGW
Target entity description: LGW is the three-letter IATA airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • A. WDG
    WDG is the abbreviated name for Wizards District Gaming, the NBA 2K League esports team affiliated with the Washington Wizards.
  • B. GMC
    GMC is an American automotive marque of General Motors known for its trucks, SUVs, and commercial vehicles.
  • C. GMC
    GMC is the independent regulatory body that oversees medical education and professional standards for doctors in the United Kingdom.
  • D. JG 52
    JG 52 was a famed Luftwaffe fighter wing of World War II, notable for including many of Germany’s highest-scoring fighter aces.
  • E. G-Wiz
    G-Wiz is the costumed, wizard-themed mascot who entertains fans at Washington Wizards basketball games.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0953fb481909e1d4177ee191351 completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca352248190a3e1b4e4c58a1e7f completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5dd2e39808190ab116593299a94f8 completed March 2, 2026, 6:55 p.m.
NED2 Entity disambiguation (via description) batch_69a5fe3bb2a08190a01ce2ed8b52ee4a completed March 2, 2026, 9:16 p.m.
Created at: March 1, 2026, 7:36 p.m.