Triple

T687728
Position Surface form Disambiguated ID Type / Status
Subject Gatwick Airport E13320 entity
Predicate ICAOcode P419 FINISHED
Object EGKK
EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
E85284 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: EGKK | Statement: [Gatwick Airport, ICAOcode, EGKK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGKK
Context triple: [Gatwick Airport, ICAOcode, EGKK]
  • A. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • B. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • C. EGGP
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • D. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • E. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • 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: EGKK
Triple: [Gatwick Airport, ICAOcode, EGKK]
Generated description
EGKK is the ICAO 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: EGKK
Target entity description: EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • A. EG
    EG is the standard abbreviation for the Egmont Group, an international network of Financial Intelligence Units that collaborates to combat money laundering and terrorist financing.
  • B. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • C. EGGP
    EGGP is the ICAO airport code for Liverpool John Lennon Airport in Liverpool, England.
  • D. GEKUT
    GEKUT is the UN/LOCODE identifier for the city of Kutaisi in Georgia, used in international trade and transport logistics.
  • E. KG
    KG is the post-nominal abbreviation used by Knights of the Order of the Garter, the highest order of chivalry in the United Kingdom.
  • 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.