Triple

T8943932
Position Surface form Disambiguated ID Type / Status
Subject London Oxford Airport E212971 entity
Predicate ICAOcode P419 FINISHED
Object EGTK
EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
E768214 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: EGTK | Statement: [London Oxford Airport, ICAOcode, EGTK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EGTK
Context triple: [London Oxford Airport, ICAOcode, EGTK]
  • A. ESGT
    ESGT is the ICAO airport code for Trollhättan–Vänersborg Airport in Sweden.
  • B. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • C. ETUI
    The ETUI is the research and training arm of the European Trade Union Confederation, focusing on workers’ rights, social policy, and labour-related research in Europe.
  • D. e-TeX
    e-TeX is an extended version of the TeX typesetting engine that adds enhanced programming features and capabilities while remaining largely compatible with standard TeX.
  • E. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • 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: EGTK
Triple: [London Oxford Airport, ICAOcode, EGTK]
Generated description
EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EGTK
Target entity description: EGTK is the ICAO airport code for London Oxford Airport, a regional airport serving Oxford and the surrounding area in England.
  • A. ESGT
    ESGT is the ICAO airport code for Trollhättan–Vänersborg Airport in Sweden.
  • B. ETB
    ETB is the three-letter international currency code used to represent the Ethiopian birr in global financial and foreign exchange contexts.
  • C. ETUI
    The ETUI is the research and training arm of the European Trade Union Confederation, focusing on workers’ rights, social policy, and labour-related research in Europe.
  • D. e-TeX
    e-TeX is an extended version of the TeX typesetting engine that adds enhanced programming features and capabilities while remaining largely compatible with standard TeX.
  • E. EGIS
    EGIS is the principal intelligence agency of Egypt, responsible for national security, foreign intelligence, and counterintelligence operations.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66da71808190b4454b2f95aae0bd completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1f87db481909d40ed6fb0a4c8c9 completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc4319ad881909223a61f2370a6f1 completed April 3, 2026, 1:44 p.m.
NED2 Entity disambiguation (via description) batch_69cfc4b019188190a49f11c51a6199ce completed April 3, 2026, 1:46 p.m.
Created at: March 30, 2026, 6:59 p.m.