Triple

T23050594
Position Surface form Disambiguated ID Type / Status
Subject Mariscal Lamar International Airport E573999 entity
Predicate ICAOcode P419 FINISHED
Object SECU
SECU is the ICAO airport code for Mariscal Lamar International Airport serving Cuenca, Ecuador.
E1568929 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: SECU | Statement: [Mariscal Lamar International Airport, ICAOcode, SECU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SECU
Context triple: [Mariscal Lamar International Airport, ICAOcode, SECU]
  • A. SECO
    SECO is the Swiss federal government’s State Secretariat responsible for national and international economic policy, labor market issues, and trade relations.
  • B. SECA
    SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
  • C. SECC
    SECC is a major exhibition and conference complex in Glasgow, Scotland, known for hosting large-scale events, concerts, and trade shows.
  • D. SECAmb
    SECAmb is the National Health Service ambulance trust responsible for providing emergency medical services across the South East of England.
  • E. SECG
    SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
  • 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: SECU
Triple: [Mariscal Lamar International Airport, ICAOcode, SECU]
Generated description
SECU is the ICAO airport code for Mariscal Lamar International Airport serving Cuenca, Ecuador.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SECU
Target entity description: SECU is the ICAO airport code for Mariscal Lamar International Airport serving Cuenca, Ecuador.
  • A. SECO
    SECO is the Swiss federal government’s State Secretariat responsible for national and international economic policy, labor market issues, and trade relations.
  • B. SECA
    SECA refers to designated maritime zones where strict limits are imposed on the sulfur content of ship fuel to reduce air pollution and protect human health and the environment.
  • C. SECC
    SECC is a major exhibition and conference complex in Glasgow, Scotland, known for hosting large-scale events, concerts, and trade shows.
  • D. SECAmb
    SECAmb is the National Health Service ambulance trust responsible for providing emergency medical services across the South East of England.
  • E. SECG
    SECG (Standards for Efficient Cryptography Group) is an industry consortium that develops and promotes standards for efficient public-key cryptography, particularly elliptic curve cryptography.
  • 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_69e245b9c11481909d06c872214d21af completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1867c443081909588262bc90748af completed April 29, 2026, 4:18 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c0ade221081909d25033a5edc73ca completed May 19, 2026, 7:01 a.m.
NEDg Description generation batch_6a0c0f3fe0d081908b86806ec2399eca completed May 19, 2026, 7:20 a.m.
NED2 Entity disambiguation (via description) batch_6a0c0fd3f8608190879a222a697716bd completed May 19, 2026, 7:23 a.m.
Created at: April 17, 2026, 3:54 p.m.