Triple

T9031156
Position Surface form Disambiguated ID Type / Status
Subject Newquay Airport E216374 entity
Predicate hasICAOcode P419 FINISHED
Object EGHQ
EGHQ is the ICAO airport code for Cornwall Airport Newquay, a commercial and military airfield in Cornwall, England.
 E772549 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: EGHQ | Statement: [Newquay Airport, hasICAOcode, EGHQ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGHQ
Context triple: [Newquay Airport, hasICAOcode, EGHQ]
  • A. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • B. ERGO Group
    ERGO Group is a major German insurance company and one of the primary insurance subsidiaries of the global reinsurer Munich Re.
  • C. EGH
    EGH is the National Rail station code for Egham railway station in Surrey, England.
  • D. EUG
    EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
  • E. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • 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: EGHQ
Triple: [Newquay Airport, hasICAOcode, EGHQ]
Generated description
EGHQ is the ICAO airport code for Cornwall Airport Newquay, a commercial and military airfield in Cornwall, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGHQ
Target entity description: EGHQ is the ICAO airport code for Cornwall Airport Newquay, a commercial and military airfield in Cornwall, England.
  • A. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • B. ERGO Group
    ERGO Group is a major German insurance company and one of the primary insurance subsidiaries of the global reinsurer Munich Re.
  • C. EGH
    EGH is the National Rail station code for Egham railway station in Surrey, England.
  • D. EUG
    EUG is the IATA airport code for Mahlon Sweet Field, the primary commercial airport serving Eugene and the surrounding region in western Oregon, United States.
  • E. GEG
    GEG is the three-letter IATA airport code for Spokane International Airport in Spokane, Washington.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc662208190a3f4e6e593208c5c completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfdceaa44c81909384939d651b9a61 completed April 3, 2026, 3:29 p.m.
NED2 Entity disambiguation (via description) batch_69cfdd75761c8190b17f97184ae07810 completed April 3, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:08 p.m.