Triple

T10181177
Position Surface form Disambiguated ID Type / Status
Subject Bournemouth Airport E236784 entity
Predicate ICAOcode P419 FINISHED
Object EGHH
EGHH is the ICAO airport code for Bournemouth Airport, a regional international airport serving Bournemouth and the surrounding area in southern England.
E845732 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: EGHH | Statement: [Bournemouth Airport, ICAOcode, EGHH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGHH
Context triple: [Bournemouth Airport, ICAOcode, EGHH]
  • A. EGH
    EGH is the National Rail station code for Egham railway station in Surrey, England.
  • B. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • C. EGHI
    EGHI is the ICAO airport code for Southampton Airport in Hampshire, England.
  • D. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • E. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • 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: EGHH
Triple: [Bournemouth Airport, ICAOcode, EGHH]
Generated description
EGHH is the ICAO airport code for Bournemouth Airport, a regional international airport serving Bournemouth and the surrounding area in southern England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EGHH
Target entity description: EGHH is the ICAO airport code for Bournemouth Airport, a regional international airport serving Bournemouth and the surrounding area in southern England.
  • A. EGH
    EGH is the National Rail station code for Egham railway station in Surrey, England.
  • B. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • C. EGHI
    EGHI is the ICAO airport code for Southampton Airport in Hampshire, England.
  • D. EGBB
    EGBB is the ICAO airport code for Birmingham Airport, a major international airport serving Birmingham and the West Midlands region of England.
  • E. EGAA
    EGAA is the ICAO airport code assigned to Belfast International Airport in Northern Ireland.
  • 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_69ca84d7260c8190bfbec36762943f37 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cded315f14819085727bd9b4363d10 completed April 2, 2026, 4:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69d301373a008190b8d39a8db4167e4f completed April 6, 2026, 12:41 a.m.
NEDg Description generation batch_69d3028a4384819094a7daef7287e54f completed April 6, 2026, 12:47 a.m.
NED2 Entity disambiguation (via description) batch_69d302e9d2688190bc292f8f2287c458 completed April 6, 2026, 12:48 a.m.
Created at: March 30, 2026, 9:11 p.m.