Triple

T4633174
Position Surface form Disambiguated ID Type / Status
Subject Cuatro Vientos Air Base E101464 entity
Predicate IATACode P418 FINISHED
Object ECV
ECV is the IATA airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield near Madrid, Spain.
 E458674 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: ECV | Statement: [Cuatro Vientos Air Base, IATACode, ECV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ECV
Context triple: [Cuatro Vientos Air Base, IATACode, ECV]
  • A. ECV-197
    ECV-197 is the exploratory Union starship at the center of the science fiction television series "The Orville."
  • B. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • C. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • D. EC4
    EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
  • E. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • 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: ECV
Triple: [Cuatro Vientos Air Base, IATACode, ECV]
Generated description
ECV is the IATA airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield near Madrid, Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ECV
Target entity description: ECV is the IATA airport code for Cuatro Vientos Air Base, a historic military and general aviation airfield near Madrid, Spain.
  • A. ECV-197
    ECV-197 is the exploratory Union starship at the center of the science fiction television series "The Orville."
  • B. ECP
    ECP is a fundamental syntactic constraint in generative grammar that governs where empty categories (such as traces) can appear in sentence structure.
  • C. EVB
    EVB (Edge Virtual Bridging) is an IEEE networking standard that defines mechanisms for managing and integrating virtualized network interfaces on edge switches and servers in data center environments.
  • D. EC4
    EC4 is a central London postcode district covering parts of the City of London, including key financial and commercial areas around Cannon Street and St Paul’s.
  • E. ECM
    ECM is a financial forecasting model developed by economist Martin Armstrong that predicts economic cycles and market turning points based on a recurring time interval.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a5d0de881909baacc5b991f5b53 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfac317248190a8886d59d2242acb completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfceda19c8190909c21594ea792a0 completed March 21, 2026, 2:05 a.m.
NED2 Entity disambiguation (via description) batch_69bdfd7790748190b322d7f8109fa887 completed March 21, 2026, 2:07 a.m.
Created at: March 20, 2026, 1:13 p.m.