Triple

T746982
Position Surface form Disambiguated ID Type / Status
Subject London Stansted Airport E15363 entity
Predicate ICAOcode P419 FINISHED
Object EGSS
EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
 E88898 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: EGSS | Statement: [London Stansted Airport, ICAOcode, EGSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EGSS
Context triple: [London Stansted Airport, ICAOcode, EGSS]
  • A. GAESA
    GAESA is a powerful Cuban military-owned business conglomerate that dominates key sectors of the country's economy, including tourism, retail, and real estate.
  • B. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • C. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • D. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • E. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • 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: EGSS
Triple: [London Stansted Airport, ICAOcode, EGSS]
Generated description
EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EGSS
Target entity description: EGSS is the ICAO airport code assigned to London Stansted Airport, a major international airport serving the London area in the United Kingdom.
  • A. GAESA
    GAESA is a powerful Cuban military-owned business conglomerate that dominates key sectors of the country's economy, including tourism, retail, and real estate.
  • B. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • C. GLE
    The Mercedes-Benz GLE is a mid-size luxury SUV known for its premium comfort, advanced technology, and strong performance within the brand’s lineup.
  • D. EGKK
    EGKK is the ICAO airport code for London Gatwick Airport, a major international airport serving the London metropolitan area in the United Kingdom.
  • E. EGA
    EGA is the common abbreviation for the Eagle, Globe, and Anchor emblem that symbolizes the United States Marine Corps.
  • 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_69a49358aa308190adbc9b5a0a2adcf9 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a62ca1d081908e3191411f86498d completed March 1, 2026, 8:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69a654e664e4819081badaf0ba0d86e5 completed March 3, 2026, 3:26 a.m.
NEDg Description generation batch_69a655e0a2608190801fb67856bc2ac4 completed March 3, 2026, 3:30 a.m.
NED2 Entity disambiguation (via description) batch_69a65704a964819097ad5074e83303b4 completed March 3, 2026, 3:35 a.m.
Created at: March 1, 2026, 7:37 p.m.