Triple

T3384129
Position Surface form Disambiguated ID Type / Status
Subject Eindhoven Airport E71255 entity
Predicate IATAcode P418 FINISHED
Object EIN
EIN is the IATA airport code for Eindhoven Airport in the Netherlands, a major regional hub for low-cost and European flights.
 E352777 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: EIN | Statement: [Eindhoven Airport, IATAcode, EIN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: EIN
Context triple: [Eindhoven Airport, IATAcode, EIN]
  • A. EINE
    EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
  • B. E.I.
    "E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
  • C. EIS
    EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
  • D. EAS
    EAS is the abbreviation commonly used for the Division of Engineering and Applied Science at the California Institute of Technology, encompassing its engineering and applied science research and academic programs.
  • E. ASN (EI&E)
    ASN (EI&E) is the U.S. Navy’s senior civilian office responsible for overseeing energy policy, shore installations, and environmental programs.
  • 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: EIN
Triple: [Eindhoven Airport, IATAcode, EIN]
Generated description
EIN is the IATA airport code for Eindhoven Airport in the Netherlands, a major regional hub for low-cost and European flights.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: EIN
Target entity description: EIN is the IATA airport code for Eindhoven Airport in the Netherlands, a major regional hub for low-cost and European flights.
  • A. EINE
    EINE is an early Emacs-like text editor developed at MIT that helped pioneer features of modern extensible, customizable editors.
  • B. E.I.
    "E.I." is a hit hip-hop single by American rapper Nelly from his debut album "Country Grammar."
  • C. EIS
    EIS is a U.S. Centers for Disease Control and Prevention (CDC) training and service program that develops disease detectives who investigate and respond to public health threats and outbreaks.
  • D. EAS
    EAS is the abbreviation commonly used for the Division of Engineering and Applied Science at the California Institute of Technology, encompassing its engineering and applied science research and academic programs.
  • E. ASN (EI&E)
    ASN (EI&E) is the U.S. Navy’s senior civilian office responsible for overseeing energy policy, shore installations, and environmental programs.
  • 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_69ad85a8fd9c819095ecedf838d2bf1b completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb5ec85d08190b28110157c39435f completed March 8, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b33452d79081909bf6955289e0dece completed March 12, 2026, 9:46 p.m.
NEDg Description generation batch_69b334f75e708190aed8b388c9ea55d2 completed March 12, 2026, 9:49 p.m.
NED2 Entity disambiguation (via description) batch_69b3359ab56881908e247ba54c7dd6c7 completed March 12, 2026, 9:52 p.m.
Created at: March 8, 2026, 3:14 p.m.