Triple

T2342768
Position Surface form Disambiguated ID Type / Status
Subject East Midlands Airport E45062 entity
Predicate ICAOcode P419 FINISHED
Object EGNX
EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
E258892 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: EGNX | Statement: [East Midlands Airport, ICAOcode, EGNX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGNX
Context triple: [East Midlands Airport, ICAOcode, EGNX]
  • A. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • B. EGXW
    EGXW is the ICAO airport code for RAF Waddington, a major Royal Air Force station in Lincolnshire, England.
  • C. EGNS
    EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
  • D. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • E. Siemens NX
    Siemens NX is a high-end computer-aided design, engineering, and manufacturing (CAD/CAM/CAE) software suite widely used for complex product development in industries such as automotive and aerospace.
  • 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: EGNX
Triple: [East Midlands Airport, ICAOcode, EGNX]
Generated description
EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EGNX
Target entity description: EGNX is the ICAO airport code for East Midlands Airport, a major passenger and cargo hub in central England.
  • A. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • B. EGXW
    EGXW is the ICAO airport code for RAF Waddington, a major Royal Air Force station in Lincolnshire, England.
  • C. EGNS
    EGNS is the ICAO airport code for Isle of Man Airport, the main civil airport serving the Isle of Man.
  • D. EGAC
    EGAC is the ICAO airport code assigned to George Best Belfast City Airport in Belfast, Northern Ireland.
  • E. Siemens NX
    Siemens NX is a high-end computer-aided design, engineering, and manufacturing (CAD/CAM/CAE) software suite widely used for complex product development in industries such as automotive and aerospace.
  • 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_69a88917935081909b755dbf38e81024 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abc6ae33e881909a81a0c0def59059 completed March 7, 2026, 6:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae9622cdb08190835222482bd22cf4 completed March 9, 2026, 9:42 a.m.
NEDg Description generation batch_69ae977776ec8190ad5f7ce4594d73d9 completed March 9, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_69ae9b64daf08190afa6898242bde864 completed March 9, 2026, 10:05 a.m.
Created at: March 4, 2026, 7:52 p.m.