Triple

T790237
Position Surface form Disambiguated ID Type / Status
Subject Southend Airport E16896 entity
Predicate IATAcode P418 FINISHED
Object SEN
SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
 E94005 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: SEN | Statement: [Southend Airport, IATAcode, SEN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEN
Context triple: [Southend Airport, IATAcode, SEN]
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. SD
    SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • 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: SEN
Triple: [Southend Airport, IATAcode, SEN]
Generated description
SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEN
Target entity description: SEN is the three-letter IATA airport code for London Southend Airport in the United Kingdom.
  • A. SED
    SED was the ruling Marxist–Leninist party that governed East Germany (the German Democratic Republic) from its founding in 1949 until the end of communist rule in 1989.
  • B. SN
    SN is the commonly used abbreviated form of the Ukrainian political party and former television series "Servant of the People."
  • C. SD
    SD is the abbreviated name commonly used for the SS Security Service, the intelligence and security agency of Nazi Germany’s Schutzstaffel.
  • D. SE
    SE is the two-letter ISO 3166-1 alpha-2 country code that uniquely identifies Sweden in international standards and systems.
  • E. NS
    NS is the standard abbreviation for Norfolk Southern Railway, a major Class I freight railroad operating primarily in the eastern United States.
  • 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_69a4936cb7448190914f5fe4b8d81607 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7841b0c8190859ecd247e32c6ec completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a67880f9608190b0676eb47ea99ca1 completed March 3, 2026, 5:58 a.m.
NEDg Description generation batch_69a678f962c881909884c2af15f41d65 completed March 3, 2026, 6 a.m.
NED2 Entity disambiguation (via description) batch_69a67953f2bc8190bbbf8d4ae9c2c3bc completed March 3, 2026, 6:01 a.m.
Created at: March 1, 2026, 7:38 p.m.